Civil Service Statistics data browser (Beta)

Data preview: All civil servants / Region_ITL1 / Sex / Ethnicity

Status Year Region_ITL1 Sex Ethnicity Headcount FTE Mean_salary Median_salary
In post 2021 East Midlands (England) Female Asian 950 820 26710 25560
In post 2021 East Midlands (England) Female Black 310 280 26440 25420
In post 2021 East Midlands (England) Female Chinese [c] [c] [c] [c]
In post 2021 East Midlands (England) Female Mixed 200 180 29260 27570
In post 2021 East Midlands (England) Female Other ethnicity 40 30 [c] [c]
In post 2021 East Midlands (England) Female Undeclared 410 360 29320 27570
In post 2021 East Midlands (England) Female Unknown 1360 1240 26830 25260
In post 2021 East Midlands (England) Female White 8740 7820 29210 27380
In post 2021 East Midlands (England) Male Asian 750 710 27440 25560
In post 2021 East Midlands (England) Male Black 200 190 28260 27570
In post 2021 East Midlands (England) Male Chinese [c] [c] [c] [c]
In post 2021 East Midlands (England) Male Mixed 140 140 31050 27570
In post 2021 East Midlands (England) Male Other ethnicity 30 30 [c] [c]
In post 2021 East Midlands (England) Male Undeclared 510 490 30890 27590
In post 2021 East Midlands (England) Male Unknown 1340 1300 28360 25560
In post 2021 East Midlands (England) Male White 6370 6140 31560 27570
In post 2021 East of England Female Asian 660 570 29220 27310
In post 2021 East of England Female Black 390 370 30030 29290
In post 2021 East of England Female Chinese [c] [c] [c] [c]
In post 2021 East of England Female Mixed 240 220 29680 27710
In post 2021 East of England Female Other ethnicity 70 70 32170 29290
In post 2021 East of England Female Undeclared 420 370 29820 27570
In post 2021 East of England Female Unknown 1000 920 29020 26300
In post 2021 East of England Female White 9370 8420 29690 27570
In post 2021 East of England Male Asian 470 450 31950 28080
In post 2021 East of England Male Black 210 200 31990 29290
In post 2021 East of England Male Chinese [c] [c] [c] [c]
In post 2021 East of England Male Mixed 180 170 31950 29290
In post 2021 East of England Male Other ethnicity 50 50 37060 31320
In post 2021 East of England Male Undeclared 670 640 32410 29870
In post 2021 East of England Male Unknown 1080 1050 29460 27570
In post 2021 East of England Male White 7760 7460 32360 29810
In post 2021 London Female Asian 8140 7500 36380 31520
In post 2021 London Female Black 6750 6450 34110 31060
In post 2021 London Female Chinese 350 340 44200 40070
In post 2021 London Female Mixed 2050 1960 39720 34760
In post 2021 London Female Other ethnicity 760 710 40270 34020
In post 2021 London Female Undeclared 2150 1990 39180 33600
In post 2021 London Female Unknown 8170 7880 41560 35050
In post 2021 London Female White 26900 25360 46090 40920
In post 2021 London Male Asian 5420 5300 38030 32790
In post 2021 London Male Black 3220 3170 35480 31880
In post 2021 London Male Chinese 250 240 41840 36360
In post 2021 London Male Mixed 1360 1340 42530 37270
In post 2021 London Male Other ethnicity 510 500 43660 36650
In post 2021 London Male Undeclared 2520 2450 44520 39870
In post 2021 London Male Unknown 7390 7310 44290 36800
In post 2021 London Male White 25990 25470 48140 42540
In post 2021 London Unknown Black [c] [c] [c] [c]
In post 2021 London Unknown Unknown [c] [c] [c] [c]
In post 2021 London Unknown White [c] [c] [c] [c]
In post 2021 North East (England) Female Asian 220 190 26550 21440
In post 2021 North East (England) Female Black 70 70 25800 21430
In post 2021 North East (England) Female Chinese [c] [c] [c] [c]
In post 2021 North East (England) Female Mixed 120 100 29100 27540
In post 2021 North East (England) Female Other ethnicity [c] [c] [c] [c]
In post 2021 North East (England) Female Undeclared 430 360 27250 25220
In post 2021 North East (England) Female Unknown 2380 2070 24840 21440
In post 2021 North East (England) Female White 14790 12680 27600 25560
In post 2021 North East (England) Male Asian 180 170 29350 25560
In post 2021 North East (England) Male Black 70 70 29490 25960
In post 2021 North East (England) Male Chinese [c] [c] [c] [c]
In post 2021 North East (England) Male Mixed 110 100 29520 27180
In post 2021 North East (England) Male Other ethnicity [c] [c] [c] [c]
In post 2021 North East (England) Male Undeclared 610 580 30390 27570
In post 2021 North East (England) Male Unknown 1970 1900 27620 25560
In post 2021 North East (England) Male White 9580 9120 29910 27570
In post 2021 North West (England) Female Asian 1150 990 26920 25040
In post 2021 North West (England) Female Black 400 370 28310 26120
In post 2021 North West (England) Female Chinese 80 70 30180 25310
In post 2021 North West (England) Female Mixed 460 420 28050 25560
In post 2021 North West (England) Female Other ethnicity 80 70 29570 27470
In post 2021 North West (England) Female Undeclared 1020 890 28810 27380
In post 2021 North West (England) Female Unknown 3690 3370 27150 24620
In post 2021 North West (England) Female White 27250 24230 28900 27130
In post 2021 North West (England) Male Asian 1420 1380 28280 26000
In post 2021 North West (England) Male Black 320 310 28870 27570
In post 2021 North West (England) Male Chinese 70 70 27980 25560
In post 2021 North West (England) Male Mixed 300 290 31320 27570
In post 2021 North West (England) Male Other ethnicity 90 90 32890 27570
In post 2021 North West (England) Male Undeclared 1200 1150 31760 27570
In post 2021 North West (England) Male Unknown 3570 3480 28790 25560
In post 2021 North West (England) Male White 18230 17540 31110 27570
In post 2021 Northern Ireland Female Asian [c] [c] [c] [c]
In post 2021 Northern Ireland Female Black [c] [c] [c] [c]
In post 2021 Northern Ireland Female Chinese [c] [c] [c] [c]
In post 2021 Northern Ireland Female Mixed [c] [c] [c] [c]
In post 2021 Northern Ireland Female Other ethnicity [c] [c] [c] [c]
In post 2021 Northern Ireland Female Undeclared 40 30 [c] [c]
In post 2021 Northern Ireland Female Unknown 280 260 25820 21440
In post 2021 Northern Ireland Female White 1420 1280 28930 25560
In post 2021 Northern Ireland Male Asian [c] [c] [c] [c]
In post 2021 Northern Ireland Male Black [c] [c] [c] [c]
In post 2021 Northern Ireland Male Chinese [c] [c] [c] [c]
In post 2021 Northern Ireland Male Mixed [c] [c] [c] [c]
In post 2021 Northern Ireland Male Other ethnicity [c] [c] [c] [c]
In post 2021 Northern Ireland Male Undeclared 60 60 29070 25710
In post 2021 Northern Ireland Male Unknown 360 360 26120 23370
In post 2021 Northern Ireland Male White 1620 1570 27920 24890
In post 2021 Overseas Female Asian 60 60 42680 34770
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).
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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.