Civil Service Statistics data browser (2022)

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

Status Year Sex Disability Ethnicity Function_of_post Headcount FTE Mean_salary Median_salary
In post 2022 Female Declared disabled Asian Analysis 20 20 [c] [c]
In post 2022 Female Declared disabled Asian Commercial 10 10 [c] [c]
In post 2022 Female Declared disabled Asian Communications 20 15 [c] [c]
In post 2022 Female Declared disabled Asian Counter Fraud 65 55 29800 27570
In post 2022 Female Declared disabled Asian Debt 40 35 24280 22080
In post 2022 Female Declared disabled Asian Digital, Data & Technology 35 35 38720 35290
In post 2022 Female Declared disabled Asian Finance 35 35 37490 32940
In post 2022 Female Declared disabled Asian Grants Management [c] [c] [c] [c]
In post 2022 Female Declared disabled Asian Human Resources 65 60 38980 35600
In post 2022 Female Declared disabled Asian Internal Audit [c] [c] [c] [c]
In post 2022 Female Declared disabled Asian Legal 75 65 41160 40170
In post 2022 Female Declared disabled Asian No function 1085 955 30130 27570
In post 2022 Female Declared disabled Asian Project Delivery 60 55 40820 37610
In post 2022 Female Declared disabled Asian Property 20 20 [c] [c]
In post 2022 Female Declared disabled Asian Security 10 10 [c] [c]
In post 2022 Female Declared disabled Asian Unknown 260 235 33600 29210
In post 2022 Female Declared disabled Black Analysis 5 5 [c] [c]
In post 2022 Female Declared disabled Black Commercial 10 10 [c] [c]
In post 2022 Female Declared disabled Black Communications 20 15 [c] [c]
In post 2022 Female Declared disabled Black Counter Fraud 75 65 29710 28920
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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 2023-02-15, 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).
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. “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.
Disability Self reported disability.
“Undeclared” accounts for employees who have actively declared that they do not want to disclose their disability status and “Unknown” accounts for employees who have not made an active declaration about their disability status.
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).