Civil Service Statistics data browser (2024)

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

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 Parent_department Organisation Sex Headcount FTE Mean_salary Median_salary
In post 2024 Attorney General’s Departments Attorney General’s Office Female 30 25 [c] [c]
In post 2024 Attorney General’s Departments Attorney General’s Office Male 25 25 [c] [c]
In post 2024 Attorney General’s Departments Crown Prosecution Service Female 5220 4805 42410 35500
In post 2024 Attorney General’s Departments Crown Prosecution Service Male 2480 2415 47090 44500
In post 2024 Attorney General’s Departments Government Legal Department Female 1990 1830 58780 60000
In post 2024 Attorney General’s Departments Government Legal Department Male 975 950 59570 60000
In post 2024 Attorney General’s Departments HM Crown Prosecution Service Inspectorate Female 15 15 [c] [c]
In post 2024 Attorney General’s Departments HM Crown Prosecution Service Inspectorate Male 10 10 [c] [c]
In post 2024 Attorney General’s Departments Serious Fraud Office Female 250 240 46970 41630
In post 2024 Attorney General’s Departments Serious Fraud Office Male 265 265 50430 43560
In post 2024 Cabinet Office Cabinet Office (excl. agencies) Female 3480 3345 49110 44500
In post 2024 Cabinet Office Cabinet Office (excl. agencies) Male 3015 2970 53050 53400
In post 2024 Cabinet Office Central Civil Service Fast Stream Female 930 930 32660 31970
In post 2024 Cabinet Office Central Civil Service Fast Stream Male 755 755 32480 31970
In post 2024 Cabinet Office Crown Commercial Service Female 380 360 43690 43580
In post 2024 Cabinet Office Crown Commercial Service Male 305 300 47080 43580
In post 2024 Cabinet Office Government Commercial Organisation Female 725 710 72380 69470
In post 2024 Cabinet Office Government Commercial Organisation Male 755 750 77450 70440
In post 2024 Cabinet Office Government Property Agency Female 170 170 52130 52460
In post 2024 Cabinet Office Government Property Agency Male 220 215 56070 55620
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 2024-07-24

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.
On 8 July 2024, the Department for Levelling Up, Housing and Communities changed its name to the Ministry for Housing, Communities and Local Government.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
On 8 July 2024, the Department for Levelling Up, Housing and Communities changed its name to the Ministry for Housing, Communities and Local Government.
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).