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

Status Year Function_of_post Ethnicity Sex Headcount FTE Mean_salary Median_salary
In post 2021 Analysis Asian Female 210 200 43230 38630
In post 2021 Analysis Asian Male 220 220 42530 39730
In post 2021 Analysis Black Female 100 100 38410 36120
In post 2021 Analysis Black Male 80 80 41080 39870
In post 2021 Analysis Black Unknown [c] [c] [c] [c]
In post 2021 Analysis Chinese Female 30 30 [c] [c]
In post 2021 Analysis Chinese Male 30 30 [c] [c]
In post 2021 Analysis Mixed Female 90 80 42220 37020
In post 2021 Analysis Mixed Male 110 100 42560 38160
In post 2021 Analysis Mixed Unknown [c] [c] [c] [c]
In post 2021 Analysis Other ethnicity Female [c] [c] [c] [c]
In post 2021 Analysis Other ethnicity Male [c] [c] [c] [c]
In post 2021 Analysis Undeclared Female 60 60 44850 42220
In post 2021 Analysis Undeclared Male 180 180 44990 41790
In post 2021 Analysis Unknown Female 380 360 40660 36980
In post 2021 Analysis Unknown Male 570 560 41030 36570
In post 2021 Analysis Unknown Unknown [c] [c] [c] [c]
In post 2021 Analysis White Female 2370 2200 42260 37320
In post 2021 Analysis White Male 2710 2660 45000 39850
In post 2021 Analysis White Unknown [c] [c] [c] [c]
In post 2021 Commercial Asian Female 140 130 39670 34550
In post 2021 Commercial Asian Male 140 130 42930 37920
In post 2021 Commercial Black Female 120 120 38600 36060
In post 2021 Commercial Black Male 60 60 43940 40580
In post 2021 Commercial Chinese Female [c] [c] [c] [c]
In post 2021 Commercial Chinese Male [c] [c] [c] [c]
In post 2021 Commercial Mixed Female 60 60 38630 34670
In post 2021 Commercial Mixed Male 40 40 [c] [c]
In post 2021 Commercial Other ethnicity Female [c] [c] [c] [c]
In post 2021 Commercial Other ethnicity Male [c] [c] [c] [c]
In post 2021 Commercial Undeclared Female 120 110 36780 34090
In post 2021 Commercial Undeclared Male 160 160 43310 40580
In post 2021 Commercial Unknown Female 770 750 56350 53320
In post 2021 Commercial Unknown Male 840 830 61620 56340
In post 2021 Commercial White Female 2290 2170 39550 35570
In post 2021 Commercial White Male 2200 2170 45430 40580
In post 2021 Communications Asian Female 210 210 35740 31810
In post 2021 Communications Asian Male 290 290 30500 26210
In post 2021 Communications Black Female 140 130 33700 31810
In post 2021 Communications Black Male 70 70 31410 25560
In post 2021 Communications Chinese Female [c] [c] [c] [c]
In post 2021 Communications Chinese Male [c] [c] [c] [c]
In post 2021 Communications Mixed Female 100 100 37080 33730
In post 2021 Communications Mixed Male 60 60 35410 31810
In post 2021 Communications Other ethnicity Female [c] [c] [c] [c]
In post 2021 Communications Other ethnicity Male [c] [c] [c] [c]
In post 2021 Communications Undeclared Female 90 80 35730 31810
In post 2021 Communications Undeclared Male 130 130 33590 31810
In post 2021 Communications Unknown Female 1070 1030 33840 28500
In post 2021 Communications Unknown Male 1100 1090 32290 25560
In post 2021 Communications White Female 2650 2470 36250 31810
In post 2021 Communications White Male 2240 2200 35200 31810
In post 2021 Counter Fraud Asian Female 290 270 31500 29570
In post 2021 Counter Fraud Asian Male 320 320 33160 31810
In post 2021 Counter Fraud Black Female 160 160 31400 29570
In post 2021 Counter Fraud Black Male 90 90 31710 29570
In post 2021 Counter Fraud Chinese Female [c] [c] [c] [c]
In post 2021 Counter Fraud Chinese Male [c] [c] [c] [c]
In post 2021 Counter Fraud Mixed Female 60 50 30820 27830
In post 2021 Counter Fraud Mixed Male 80 70 36840 34250
In post 2021 Counter Fraud Other ethnicity Female [c] [c] [c] [c]
In post 2021 Counter Fraud Other ethnicity Male [c] [c] [c] [c]
In post 2021 Counter Fraud Undeclared Female 200 180 33730 31810
In post 2021 Counter Fraud Undeclared Male 380 360 37520 32520
In post 2021 Counter Fraud Unknown Female 730 680 30840 29570
In post 2021 Counter Fraud Unknown Male 960 930 33130 31810
In post 2021 Counter Fraud White Female 3050 2760 32830 31810
In post 2021 Counter Fraud White Male 3250 3130 35660 31810
In post 2021 Debt Asian Female 220 180 23710 24360
In post 2021 Debt Asian Male 140 120 24100 21400
In post 2021 Debt Black Female 100 90 25420 24120
In post 2021 Debt Black Male 60 50 25310 25600
In post 2021 Debt Chinese Female [c] [c] [c] [c]
In post 2021 Debt Chinese Male [c] [c] [c] [c]
In post 2021 Debt Mixed Female [c] [c] [c] [c]
In post 2021 Debt Mixed Male [c] [c] [c] [c]
In post 2021 Debt Other ethnicity Female [c] [c] [c] [c]
In post 2021 Debt Other ethnicity Male [c] [c] [c] [c]
In post 2021 Debt Undeclared Female 80 60 24390 24120
In post 2021 Debt Undeclared Male 70 70 25100 21440
In post 2021 Debt Unknown Female 810 730 21600 20140
In post 2021 Debt Unknown Male 740 720 21370 20140
In post 2021 Debt White Female 1400 1180 24040 21440
In post 2021 Debt White Male 1000 960 24300 21440
In post 2021 Digital, Data & Technology Asian Female 320 310 41290 36390
In post 2021 Digital, Data & Technology Asian Male 480 480 41190 37640
In post 2021 Digital, Data & Technology Black Female 160 150 38250 35960
In post 2021 Digital, Data & Technology Black Male 220 220 39930 36030
In post 2021 Digital, Data & Technology Chinese Female [c] [c] [c] [c]
In post 2021 Digital, Data & Technology Chinese Male 30 30 [c] [c]
In post 2021 Digital, Data & Technology Chinese Unknown [c] [c] [c] [c]
In post 2021 Digital, Data & Technology Mixed Female 100 100 42300 40480
In post 2021 Digital, Data & Technology Mixed Male 130 130 44470 40040
In post 2021 Digital, Data & Technology Other ethnicity Female 30 30 [c] [c]
In post 2021 Digital, Data & Technology Other ethnicity Male 60 60 45840 40230
In post 2021 Digital, Data & Technology Undeclared Female 150 150 41060 38540
In post 2021 Digital, Data & Technology Undeclared Male 500 490 42090 39670
In post 2021 Digital, Data & Technology Unknown Female 790 760 40470 36780
In post 2021 Digital, Data & Technology Unknown Male 1700 1680 40390 37060
In post 2021 Digital, Data & Technology White Female 3420 3220 40170 37540
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.