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Data preview: All civil servants / Sex / Function_of_post / Ethnicity

Status Year Sex Function_of_post Ethnicity Headcount FTE Mean_salary Median_salary
In post 2021 Female Analysis Asian 210 200 43230 38630
In post 2021 Female Analysis Black 100 100 38410 36120
In post 2021 Female Analysis Chinese 30 30 [c] [c]
In post 2021 Female Analysis Mixed 90 80 42220 37020
In post 2021 Female Analysis Other ethnicity [c] [c] [c] [c]
In post 2021 Female Analysis Undeclared 60 60 44850 42220
In post 2021 Female Analysis Unknown 380 360 40660 36980
In post 2021 Female Analysis White 2370 2200 42260 37320
In post 2021 Female Commercial Asian 140 130 39670 34550
In post 2021 Female Commercial Black 120 120 38600 36060
In post 2021 Female Commercial Chinese [c] [c] [c] [c]
In post 2021 Female Commercial Mixed 60 60 38630 34670
In post 2021 Female Commercial Other ethnicity [c] [c] [c] [c]
In post 2021 Female Commercial Undeclared 120 110 36780 34090
In post 2021 Female Commercial Unknown 770 750 56350 53320
In post 2021 Female Commercial White 2290 2170 39550 35570
In post 2021 Female Communications Asian 210 210 35740 31810
In post 2021 Female Communications Black 140 130 33700 31810
In post 2021 Female Communications Chinese [c] [c] [c] [c]
In post 2021 Female Communications Mixed 100 100 37080 33730
In post 2021 Female Communications Other ethnicity [c] [c] [c] [c]
In post 2021 Female Communications Undeclared 90 80 35730 31810
In post 2021 Female Communications Unknown 1070 1030 33840 28500
In post 2021 Female Communications White 2650 2470 36250 31810
In post 2021 Female Counter Fraud Asian 290 270 31500 29570
In post 2021 Female Counter Fraud Black 160 160 31400 29570
In post 2021 Female Counter Fraud Chinese [c] [c] [c] [c]
In post 2021 Female Counter Fraud Mixed 60 50 30820 27830
In post 2021 Female Counter Fraud Other ethnicity [c] [c] [c] [c]
In post 2021 Female Counter Fraud Undeclared 200 180 33730 31810
In post 2021 Female Counter Fraud Unknown 730 680 30840 29570
In post 2021 Female Counter Fraud White 3050 2760 32830 31810
In post 2021 Female Debt Asian 220 180 23710 24360
In post 2021 Female Debt Black 100 90 25420 24120
In post 2021 Female Debt Chinese [c] [c] [c] [c]
In post 2021 Female Debt Mixed [c] [c] [c] [c]
In post 2021 Female Debt Other ethnicity [c] [c] [c] [c]
In post 2021 Female Debt Undeclared 80 60 24390 24120
In post 2021 Female Debt Unknown 810 730 21600 20140
In post 2021 Female Debt White 1400 1180 24040 21440
In post 2021 Female Digital, Data & Technology Asian 320 310 41290 36390
In post 2021 Female Digital, Data & Technology Black 160 150 38250 35960
In post 2021 Female Digital, Data & Technology Chinese [c] [c] [c] [c]
In post 2021 Female Digital, Data & Technology Mixed 100 100 42300 40480
In post 2021 Female Digital, Data & Technology Other ethnicity 30 30 [c] [c]
In post 2021 Female Digital, Data & Technology Undeclared 150 150 41060 38540
In post 2021 Female Digital, Data & Technology Unknown 790 760 40470 36780
In post 2021 Female Digital, Data & Technology White 3420 3220 40170 37540
In post 2021 Female Finance Asian 360 340 36730 33660
In post 2021 Female Finance Black 220 210 38080 35990
In post 2021 Female Finance Chinese 30 30 [c] [c]
In post 2021 Female Finance Mixed 90 80 39700 36590
In post 2021 Female Finance Other ethnicity 30 30 [c] [c]
In post 2021 Female Finance Undeclared 160 140 36980 33300
In post 2021 Female Finance Unknown 640 590 34580 31810
In post 2021 Female Finance White 3760 3440 37060 32780
In post 2021 Female Grants Management Asian [c] [c] [c] [c]
In post 2021 Female Grants Management Black [c] [c] [c] [c]
In post 2021 Female Grants Management Chinese [c] [c] [c] [c]
In post 2021 Female Grants Management Mixed [c] [c] [c] [c]
In post 2021 Female Grants Management Other ethnicity [c] [c] [c] [c]
In post 2021 Female Grants Management Undeclared [c] [c] [c] [c]
In post 2021 Female Grants Management Unknown 370 350 23980 21050
In post 2021 Female Grants Management White 670 560 25670 24920
In post 2021 Female Human Resources Asian 360 340 37070 33950
In post 2021 Female Human Resources Black 260 250 37270 33820
In post 2021 Female Human Resources Chinese [c] [c] [c] [c]
In post 2021 Female Human Resources Mixed 120 110 41230 37010
In post 2021 Female Human Resources Other ethnicity 40 30 [c] [c]
In post 2021 Female Human Resources Undeclared 180 160 35680 32180
In post 2021 Female Human Resources Unknown 630 600 34910 31660
In post 2021 Female Human Resources White 5090 4730 37480 32960
In post 2021 Female Internal Audit Asian 40 40 [c] [c]
In post 2021 Female Internal Audit Black [c] [c] [c] [c]
In post 2021 Female Internal Audit Chinese [c] [c] [c] [c]
In post 2021 Female Internal Audit Mixed [c] [c] [c] [c]
In post 2021 Female Internal Audit Other ethnicity [c] [c] [c] [c]
In post 2021 Female Internal Audit Undeclared [c] [c] [c] [c]
In post 2021 Female Internal Audit Unknown [c] [c] [c] [c]
In post 2021 Female Internal Audit White 290 270 44100 41550
In post 2021 Female Legal Asian 780 710 42110 40920
In post 2021 Female Legal Black 480 450 40580 35000
In post 2021 Female Legal Chinese 40 40 [c] [c]
In post 2021 Female Legal Mixed 230 210 46690 50520
In post 2021 Female Legal Other ethnicity 100 90 50630 52730
In post 2021 Female Legal Undeclared 190 170 45820 43460
In post 2021 Female Legal Unknown 2110 1900 35430 29350
In post 2021 Female Legal White 5790 5200 45160 46080
In post 2021 Female No function Asian 5100 4660 32200 28130
In post 2021 Female No function Black 3590 3420 31690 28690
In post 2021 Female No function Chinese 260 250 36900 32790
In post 2021 Female No function Mixed 1880 1770 33510 30500
In post 2021 Female No function Other ethnicity 540 500 35510 31810
In post 2021 Female No function Undeclared 2820 2560 32990 29190
In post 2021 Female No function Unknown 15770 14560 29290 25560
In post 2021 Female No function White 69400 62520 31850 27380
In post 2021 Female Project Delivery Asian 560 540 41070 37640
In post 2021 Female Project Delivery Black 400 390 39120 36160
In post 2021 Female Project Delivery Chinese 30 30 [c] [c]
In post 2021 Female Project Delivery Mixed 230 220 41000 36890
Note: Data has been truncated to 100 rows, please download the data to view the remaining rows

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About: The Civil Service Statistics data browser is a pilot project by Cabinet Office to provide access to more detailed data on the Civil Service workforce from the Annual Civil Service Employment Survey. We welcome feedback or comments on this project, which can be addressed to civilservicestatistics@cabinetoffice.gov.uk

Notes: Summary figures are suppressed when information relates to less than 30 civil servants for FTE or Headcount, and less than 50 civil servants for median and mean salary (shown as [c]). Additionally, zero responses have been suppressed for GPDR protected characteristics. Figures are rounded to the nearest 10, or £10 as appropriate.

Data source: All figures are aggregated from the Cabinet Office Annual Civil Service Employment Survey collection.

Version: Generated on 2022-07-26, with GIT 03ee02c.

Data column Description
Status Employment status of the civil servants.
In post - includes staff that were in post on the reference date (31 March).
New entrant CS - includes new entrants to the Civil Service over the year (1 April to 31 March).
Leaver CS - includes leavers from the Civil Service over the year (1 April to 31 March). This includes employees who have an Unknown leaving cause.
Leaver Dept. - includes leavers from the department over the year (1 April to 31 March), who did not leave the Civil Service.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. The Defence Electronics and Components Agency does not record the date in which their employees first enter the Civil Service and so entrants data is not available. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year Year of data collection (as at March 31st).
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Home Office, Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ for 2022.
“Undeclared” accounts for employees who have actively declared that they do not want to disclose their ethnicity and “Unknown” accounts for employees who have not made an active declaration about their ethnicity.
Headcount Total number of civil servants (rounded to nearest 10).
FTE Total full-time equivalent employment numbers (rounded to nearest 10).
Mean_salary Average salary (mean, rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.
Median_salary Median salary (rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.