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

Status Year Sex Ethnicity Function_of_post Headcount FTE Mean_salary Median_salary
In post 2021 Female Asian Analysis 210 200 43230 38630
In post 2021 Female Asian Commercial 140 130 39670 34550
In post 2021 Female Asian Communications 210 210 35740 31810
In post 2021 Female Asian Counter Fraud 290 270 31500 29570
In post 2021 Female Asian Debt 220 180 23710 24360
In post 2021 Female Asian Digital, Data & Technology 320 310 41290 36390
In post 2021 Female Asian Finance 360 340 36730 33660
In post 2021 Female Asian Grants Management [c] [c] [c] [c]
In post 2021 Female Asian Human Resources 360 340 37070 33950
In post 2021 Female Asian Internal Audit 40 40 [c] [c]
In post 2021 Female Asian Legal 780 710 42110 40920
In post 2021 Female Asian No function 5100 4660 32200 28130
In post 2021 Female Asian Project Delivery 560 540 41070 37640
In post 2021 Female Asian Property 160 140 31710 29450
In post 2021 Female Asian Security 80 70 34800 33080
In post 2021 Female Asian Unknown 7490 6570 29400 27570
In post 2021 Female Black Analysis 100 100 38410 36120
In post 2021 Female Black Commercial 120 120 38600 36060
In post 2021 Female Black Communications 140 130 33700 31810
In post 2021 Female Black Counter Fraud 160 160 31400 29570
In post 2021 Female Black Debt 100 90 25420 24120
In post 2021 Female Black Digital, Data & Technology 160 150 38250 35960
In post 2021 Female Black Finance 220 210 38080 35990
In post 2021 Female Black Grants Management [c] [c] [c] [c]
In post 2021 Female Black Human Resources 260 250 37270 33820
In post 2021 Female Black Internal Audit [c] [c] [c] [c]
In post 2021 Female Black Legal 480 450 40580 35000
In post 2021 Female Black No function 3590 3420 31690 28690
In post 2021 Female Black Project Delivery 400 390 39120 36160
In post 2021 Female Black Property 90 90 34880 31620
In post 2021 Female Black Security 40 40 [c] [c]
In post 2021 Female Black Unknown 4200 3900 30300 29360
In post 2021 Female Chinese Analysis 30 30 [c] [c]
In post 2021 Female Chinese Commercial [c] [c] [c] [c]
In post 2021 Female Chinese Communications [c] [c] [c] [c]
In post 2021 Female Chinese Counter Fraud [c] [c] [c] [c]
In post 2021 Female Chinese Debt [c] [c] [c] [c]
In post 2021 Female Chinese Digital, Data & Technology [c] [c] [c] [c]
In post 2021 Female Chinese Finance 30 30 [c] [c]
In post 2021 Female Chinese Grants Management [c] [c] [c] [c]
In post 2021 Female Chinese Human Resources [c] [c] [c] [c]
In post 2021 Female Chinese Internal Audit [c] [c] [c] [c]
In post 2021 Female Chinese Legal 40 40 [c] [c]
In post 2021 Female Chinese No function 260 250 36900 32790
In post 2021 Female Chinese Project Delivery 30 30 [c] [c]
In post 2021 Female Chinese Property [c] [c] [c] [c]
In post 2021 Female Chinese Security [c] [c] [c] [c]
In post 2021 Female Chinese Unknown 240 220 32150 27570
In post 2021 Female Mixed Analysis 90 80 42220 37020
In post 2021 Female Mixed Commercial 60 60 38630 34670
In post 2021 Female Mixed Communications 100 100 37080 33730
In post 2021 Female Mixed Counter Fraud 60 50 30820 27830
In post 2021 Female Mixed Debt [c] [c] [c] [c]
In post 2021 Female Mixed Digital, Data & Technology 100 100 42300 40480
In post 2021 Female Mixed Finance 90 80 39700 36590
In post 2021 Female Mixed Grants Management [c] [c] [c] [c]
In post 2021 Female Mixed Human Resources 120 110 41230 37010
In post 2021 Female Mixed Internal Audit [c] [c] [c] [c]
In post 2021 Female Mixed Legal 230 210 46690 50520
In post 2021 Female Mixed No function 1880 1770 33510 30500
In post 2021 Female Mixed Project Delivery 230 220 41000 36890
In post 2021 Female Mixed Property 60 50 33330 31600
In post 2021 Female Mixed Security 40 30 [c] [c]
In post 2021 Female Mixed Unknown 1750 1610 30690 27570
In post 2021 Female Other ethnicity Analysis [c] [c] [c] [c]
In post 2021 Female Other ethnicity Commercial [c] [c] [c] [c]
In post 2021 Female Other ethnicity Communications [c] [c] [c] [c]
In post 2021 Female Other ethnicity Counter Fraud [c] [c] [c] [c]
In post 2021 Female Other ethnicity Debt [c] [c] [c] [c]
In post 2021 Female Other ethnicity Digital, Data & Technology 30 30 [c] [c]
In post 2021 Female Other ethnicity Finance 30 30 [c] [c]
In post 2021 Female Other ethnicity Grants Management [c] [c] [c] [c]
In post 2021 Female Other ethnicity Human Resources 40 30 [c] [c]
In post 2021 Female Other ethnicity Internal Audit [c] [c] [c] [c]
In post 2021 Female Other ethnicity Legal 100 90 50630 52730
In post 2021 Female Other ethnicity No function 540 500 35510 31810
In post 2021 Female Other ethnicity Project Delivery 70 70 43770 39100
In post 2021 Female Other ethnicity Property [c] [c] [c] [c]
In post 2021 Female Other ethnicity Security [c] [c] [c] [c]
In post 2021 Female Other ethnicity Unknown 480 440 31050 28850
In post 2021 Female Undeclared Analysis 60 60 44850 42220
In post 2021 Female Undeclared Commercial 120 110 36780 34090
In post 2021 Female Undeclared Communications 90 80 35730 31810
In post 2021 Female Undeclared Counter Fraud 200 180 33730 31810
In post 2021 Female Undeclared Debt 80 60 24390 24120
In post 2021 Female Undeclared Digital, Data & Technology 150 150 41060 38540
In post 2021 Female Undeclared Finance 160 140 36980 33300
In post 2021 Female Undeclared Grants Management [c] [c] [c] [c]
In post 2021 Female Undeclared Human Resources 180 160 35680 32180
In post 2021 Female Undeclared Internal Audit [c] [c] [c] [c]
In post 2021 Female Undeclared Legal 190 170 45820 43460
In post 2021 Female Undeclared No function 2820 2560 32990 29190
In post 2021 Female Undeclared Project Delivery 460 440 39630 37320
In post 2021 Female Undeclared Property 150 130 34320 33250
In post 2021 Female Undeclared Security 70 70 33600 33300
In post 2021 Female Undeclared Unknown 3790 3270 29200 27570
In post 2021 Female Unknown Analysis 380 360 40660 36980
In post 2021 Female Unknown Commercial 770 750 56350 53320
In post 2021 Female Unknown Communications 1070 1030 33840 28500
In post 2021 Female Unknown Counter Fraud 730 680 30840 29570
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.