Civil Service Statistics data browser (2023)

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

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 Organisation Parent_department Headcount FTE Mean_salary Median_salary
In post 2023 Female Accountant in Bankruptcy Scottish Government 75 65 32730 31940
In post 2023 Female Active Travel England Department for Transport 20 20 [c] [c]
In post 2023 Female Advisory, Conciliation and Arbitration Service Department for Business, Energy and Industrial Strategy 595 540 33770 32110
In post 2023 Female Animal and Plant Health Agency Department for Environment, Food and Rural Affairs 1850 1730 30600 26850
In post 2023 Female Attorney General’s Office Attorney General’s Departments 30 25 [c] [c]
In post 2023 Female Building Digital UK Department for Digital, Culture, Media and Sport 110 110 45030 48010
In post 2023 Female Cabinet Office (excl. agencies) Cabinet Office 3165 3025 46470 41870
In post 2023 Female Central Civil Service Fast Stream Cabinet Office 995 995 30680 30130
In post 2023 Female Centre for Environment, Fisheries and Aquaculture Science Department for Environment, Food and Rural Affairs 335 310 34010 30350
In post 2023 Female Charity Commission Charity Commission 300 285 36050 30170
In post 2023 Female Companies House Department for Business, Energy and Industrial Strategy 680 610 31170 25610
In post 2023 Female Competition and Markets Authority Competition and Markets Authority 455 430 60150 57000
In post 2023 Female Criminal Injuries Compensation Authority Ministry of Justice 185 165 28450 25830
In post 2023 Female Crown Commercial Service Cabinet Office 420 400 40370 40450
In post 2023 Female Crown Office and Procurator Fiscal Service Scottish Government 1740 1615 39450 33120
In post 2023 Female Crown Prosecution Service Attorney General’s Departments 5070 4655 40380 33300
In post 2023 Female Defence Electronics and Components Agency Ministry of Defence 75 75 30140 27250
In post 2023 Female Defence Equipment and Support Ministry of Defence 3755 3505 37160 33550
In post 2023 Female Defence Science and Technology Laboratory Ministry of Defence 1805 1700 40360 39890
In post 2023 Female Department for Business, Energy and Industrial Strategy (excl. agencies) Department for Business, Energy and Industrial Strategy 3170 3065 49330 50310
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).