Civil Service Statistics data browser (2022)

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

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Disability, Sexual_orientation, Age

Status Year Sex Parent_department Ethnicity Headcount FTE Mean_salary Median_salary
In post 2022 Female Attorney General’s Departments Asian 735 670 42670 43920
In post 2022 Female Attorney General’s Departments Black 440 415 40060 32460
In post 2022 Female Attorney General’s Departments Mixed 190 175 45600 50500
In post 2022 Female Attorney General’s Departments Other ethnicity 60 55 44890 50040
In post 2022 Female Attorney General’s Departments Undeclared 110 100 45930 48830
In post 2022 Female Attorney General’s Departments Unknown 690 625 46920 50500
In post 2022 Female Attorney General’s Departments White 4465 4065 43530 43920
In post 2022 Female Cabinet Office Asian 325 315 43930 40600
In post 2022 Female Cabinet Office Black 185 180 40480 36600
In post 2022 Female Cabinet Office Mixed 140 140 42960 39360
In post 2022 Female Cabinet Office Other ethnicity 45 45 45420 40600
In post 2022 Female Cabinet Office Undeclared 95 90 43630 40600
In post 2022 Female Cabinet Office Unknown 2260 2230 44070 32000
In post 2022 Female Cabinet Office White 2850 2735 45040 40580
In post 2022 Female Chancellor’s other departments Asian 30 30 [c] [c]
In post 2022 Female Chancellor’s other departments Black 15 15 [c] [c]
In post 2022 Female Chancellor’s other departments Mixed 10 5 [c] [c]
In post 2022 Female Chancellor’s other departments Other ethnicity [c] [c] [c] [c]
In post 2022 Female Chancellor’s other departments Undeclared 10 10 [c] [c]
In post 2022 Female Chancellor’s other departments Unknown 5 5 [c] [c]
Note: Data has been truncated to 20 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 5 civil servants for FTE or Headcount, and less than 10 civil servants for median and mean salary (shown as [c]). Zero responses and salaries for less than 30 civil servants have been suppressed for GPDR special category data. FTE figures are not shown for entrants or leavers due to data quality concerns for these groups. Figures are rounded to the nearest 5, or £10 as appropriate.

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

Version: Generated on 2023-02-14, with GIT 71a76ea.

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, Defence Electronics and Components Agency, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
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. 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 31 March).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
On 30 September 2021, the Ministry for Housing, Communities and Local Government changed its name to the Department for Levelling Up, Housing and Communities.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. “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 5).
FTE Total full-time equivalent (FTE) employment numbers (rounded to nearest 5).
FTE figures are not shown for entrants or leavers due to data quality concerns for these groups.
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.
These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).
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.
These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).