Civil Service Statistics data browser (Beta)

Data preview: All civil servants / Profession_of_post / Ethnicity

Explore further: Parent_department, Organisation, Responsibility_level, Region_ITL1, Region_ITL2, Region_ITL3, Function_of_post, Sex, Disability, Sexual_orientation, Age

Status Year Profession_of_post Ethnicity Headcount FTE Mean_salary Median_salary
In post 2021 Commercial Asian 230 230 39160 36780
In post 2021 Commercial Black 180 180 38140 36010
In post 2021 Commercial Chinese [c] [c] [c] [c]
In post 2021 Commercial Mixed 90 80 38980 34800
In post 2021 Commercial Other ethnicity [c] [c] [c] [c]
In post 2021 Commercial Undeclared 230 220 39830 38240
In post 2021 Commercial Unknown 590 570 39310 36900
In post 2021 Commercial White 4010 3860 40840 37850
In post 2021 Communications Asian 180 170 39500 36160
In post 2021 Communications Black 110 110 38430 36320
In post 2021 Communications Chinese [c] [c] [c] [c]
In post 2021 Communications Mixed 110 110 41630 39070
In post 2021 Communications Other ethnicity [c] [c] [c] [c]
In post 2021 Communications Undeclared 110 110 40850 39080
In post 2021 Communications Unknown 700 680 42530 38750
In post 2021 Communications White 2720 2610 41600 38310
In post 2021 Corporate Finance Asian [c] [c] [c] [c]
In post 2021 Corporate Finance Black [c] [c] [c] [c]
In post 2021 Corporate Finance Chinese [c] [c] [c] [c]
In post 2021 Corporate Finance Mixed [c] [c] [c] [c]
In post 2021 Corporate Finance Other ethnicity [c] [c] [c] [c]
In post 2021 Corporate Finance Undeclared [c] [c] [c] [c]
In post 2021 Corporate Finance Unknown [c] [c] [c] [c]
In post 2021 Corporate Finance White 120 110 46920 46080
In post 2021 Counter Fraud Asian 50 50 [c] [c]
In post 2021 Counter Fraud Black [c] [c] [c] [c]
In post 2021 Counter Fraud Chinese [c] [c] [c] [c]
In post 2021 Counter Fraud Mixed [c] [c] [c] [c]
In post 2021 Counter Fraud Other ethnicity [c] [c] [c] [c]
In post 2021 Counter Fraud Undeclared 40 30 [c] [c]
In post 2021 Counter Fraud Unknown 170 160 41000 38510
In post 2021 Counter Fraud White 590 570 37870 34990
In post 2021 Digital, Data and Technology Asian 870 850 42370 38630
In post 2021 Digital, Data and Technology Black 400 400 40290 37240
In post 2021 Digital, Data and Technology Chinese 60 60 42040 38630
In post 2021 Digital, Data and Technology Mixed 210 210 42750 39440
In post 2021 Digital, Data and Technology Other ethnicity 80 80 41730 38900
In post 2021 Digital, Data and Technology Undeclared 700 680 42090 39210
In post 2021 Digital, Data and Technology Unknown 2210 2180 40470 36830
In post 2021 Digital, Data and Technology White 8760 8500 42050 38630
In post 2021 Economics Asian 180 180 44530 41000
In post 2021 Economics Black 60 60 38110 33210
In post 2021 Economics Chinese [c] [c] [c] [c]
In post 2021 Economics Mixed 90 90 45070 43840
In post 2021 Economics Other ethnicity [c] [c] [c] [c]
In post 2021 Economics Undeclared 70 70 50370 54760
In post 2021 Economics Unknown 420 410 43160 36190
In post 2021 Economics White 1300 1270 49070 49120
In post 2021 Finance Asian 750 730 39930 36500
In post 2021 Finance Black 370 370 39750 36810
In post 2021 Finance Chinese 50 50 40470 36310
In post 2021 Finance Mixed 150 140 41130 38390
In post 2021 Finance Other ethnicity 60 60 39270 36840
In post 2021 Finance Undeclared 390 380 41030 37510
In post 2021 Finance Unknown 960 920 37650 33550
In post 2021 Finance White 6430 6080 40790 36960
In post 2021 Human Resources Asian 410 390 37380 34000
In post 2021 Human Resources Black 290 280 37930 34710
In post 2021 Human Resources Chinese [c] [c] [c] [c]
In post 2021 Human Resources Mixed 160 150 40820 37460
In post 2021 Human Resources Other ethnicity 50 50 [c] [c]
In post 2021 Human Resources Undeclared 220 210 36620 33300
In post 2021 Human Resources Unknown 670 640 35890 32000
In post 2021 Human Resources White 6050 5710 39120 34150
In post 2021 Inspector of Education and Training Asian [c] [c] [c] [c]
In post 2021 Inspector of Education and Training Black [c] [c] [c] [c]
In post 2021 Inspector of Education and Training Chinese [c] [c] [c] [c]
In post 2021 Inspector of Education and Training Mixed [c] [c] [c] [c]
In post 2021 Inspector of Education and Training Other ethnicity [c] [c] [c] [c]
In post 2021 Inspector of Education and Training Undeclared [c] [c] [c] [c]
In post 2021 Inspector of Education and Training Unknown [c] [c] [c] [c]
In post 2021 Inspector of Education and Training White 780 760 66770 74730
In post 2021 Intelligence Analysis Asian 190 180 32790 29250
In post 2021 Intelligence Analysis Black 60 60 33580 30560
In post 2021 Intelligence Analysis Chinese [c] [c] [c] [c]
In post 2021 Intelligence Analysis Mixed 60 60 39240 35450
In post 2021 Intelligence Analysis Other ethnicity [c] [c] [c] [c]
In post 2021 Intelligence Analysis Undeclared 210 200 35250 31870
In post 2021 Intelligence Analysis Unknown 290 290 43500 41460
In post 2021 Intelligence Analysis White 2540 2430 34310 30980
In post 2021 Internal Audit Asian 80 70 46610 44310
In post 2021 Internal Audit Black 30 30 [c] [c]
In post 2021 Internal Audit Chinese [c] [c] [c] [c]
In post 2021 Internal Audit Mixed [c] [c] [c] [c]
In post 2021 Internal Audit Other ethnicity [c] [c] [c] [c]
In post 2021 Internal Audit Undeclared 40 40 [c] [c]
In post 2021 Internal Audit Unknown [c] [c] [c] [c]
In post 2021 Internal Audit White 570 550 45960 42890
In post 2021 International Trade Asian 110 110 42870 38160
In post 2021 International Trade Black 50 50 42650 38540
In post 2021 International Trade Chinese [c] [c] [c] [c]
In post 2021 International Trade Mixed 40 40 [c] [c]
In post 2021 International Trade Other ethnicity [c] [c] [c] [c]
In post 2021 International Trade Undeclared 50 50 [c] [c]
In post 2021 International Trade Unknown 440 430 45480 39110
In post 2021 International Trade White 760 750 48670 50940
In post 2021 Knowledge and Information Management Asian 120 110 34290 32340
In post 2021 Knowledge and Information Management Black 70 70 34260 31390
In post 2021 Knowledge and Information Management Chinese [c] [c] [c] [c]
In post 2021 Knowledge and Information Management Mixed 30 30 [c] [c]
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).
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Cabinet Office (excl agencies) reported profession information for only 60 out of a total 9,930 employees.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
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.