Civil Service Statistics data browser (2023)

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

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

Status Year Sex Parent_department Organisation Headcount FTE Mean_salary Median_salary
In post 2023 Female Attorney General’s Departments Attorney General’s Office 30 25 [c] [c]
In post 2023 Female Attorney General’s Departments Crown Prosecution Service 5070 4655 40380 33300
In post 2023 Female Attorney General’s Departments Government Legal Department 1775 1620 55600 53390
In post 2023 Female Attorney General’s Departments HM Crown Prosecution Service Inspectorate 15 15 [c] [c]
In post 2023 Female Attorney General’s Departments Serious Fraud Office 220 215 47660 41400
In post 2023 Female Cabinet Office Cabinet Office (excl. agencies) 3165 3025 46470 41870
In post 2023 Female Cabinet Office Central Civil Service Fast Stream 995 995 30680 30130
In post 2023 Female Cabinet Office Crown Commercial Service 420 400 40370 40450
In post 2023 Female Cabinet Office Government Commercial Organisation 700 685 71100 66270
In post 2023 Female Cabinet Office Government Property Agency 175 175 46660 41330
In post 2023 Female Chancellor’s other departments Government Actuary’s Department 85 80 65900 67430
In post 2023 Female Chancellor’s other departments National Savings and Investments 95 90 48770 45000
In post 2023 Female Charity Commission Charity Commission 300 285 36050 30170
In post 2023 Female Competition and Markets Authority Competition and Markets Authority 455 430 60150 57000
In post 2023 Female Department for Business, Energy and Industrial Strategy Advisory, Conciliation and Arbitration Service 595 540 33770 32110
In post 2023 Female Department for Business, Energy and Industrial Strategy Companies House 680 610 31170 25610
In post 2023 Female Department for Business, Energy and Industrial Strategy Department for Business, Energy and Industrial Strategy (excl. agencies) 3170 3065 49330 50310
In post 2023 Female Department for Business, Energy and Industrial Strategy Intellectual Property Office 805 740 36710 31750
In post 2023 Female Department for Business, Energy and Industrial Strategy Met Office 910 845 37980 37420
In post 2023 Female Department for Business, Energy and Industrial Strategy The Insolvency Service 950 885 33780 30790
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 2023-07-26, with GIT d545f65.

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.
Four 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, 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.
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.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
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).