Civil Service Statistics data browser (2025)

Data preview: All civil servants / Parent_department / Region_london / Disability / Function_of_post

Status Year Parent_department Region_london Disability Function_of_post Headcount FTE Mean_salary Median_salary
In post 2025 Attorney General’s Departments London Declared disabled Analysis [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Commercial [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Communications [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Digital and Data 20 20 [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Finance 10 10 [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Legal 445 410 57440 61200
In post 2025 Attorney General’s Departments London Declared disabled No function 20 20 [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled People 5 5 [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Project Delivery [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Property [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Security [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared disabled Unknown 10 10 [c] [c]
In post 2025 Attorney General’s Departments London Declared non-disabled Analysis [c] [c] [c] [c]
In post 2025 Attorney General’s Departments London Declared non-disabled Commercial 10 10 [c] [c]
In post 2025 Attorney General’s Departments London Declared non-disabled Communications 30 30 [c] [c]
In post 2025 Attorney General’s Departments London Declared non-disabled Digital and Data 85 80 51720 45680
In post 2025 Attorney General’s Departments London Declared non-disabled Finance 45 45 50030 43000
In post 2025 Attorney General’s Departments London Declared non-disabled Legal 2590 2420 60490 65250
In post 2025 Attorney General’s Departments London Declared non-disabled No function 135 130 51420 43950
In post 2025 Attorney General’s Departments London Declared non-disabled People 75 70 46650 38630
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 2025-07-21

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, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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.
Region_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).