Civil Service Statistics data browser (2025)

Data preview: All civil servants / Sex / Parent_department / Region_london / Region_ITL1

Status Year Sex Parent_department Region_london Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2025 Female Attorney General’s Departments London London 3265 3030 56430 61200
In post 2025 Female Attorney General’s Departments Outside London East (England) 415 365 43590 33200
In post 2025 Female Attorney General’s Departments Outside London East Midlands (England) 345 310 43150 36740
In post 2025 Female Attorney General’s Departments Outside London North East (England) 270 245 41810 34680
In post 2025 Female Attorney General’s Departments Outside London North West (England) 905 840 43490 36740
In post 2025 Female Attorney General’s Departments Outside London South East (England) 530 485 46740 38630
In post 2025 Female Attorney General’s Departments Outside London South West (England) 335 305 49360 54210
In post 2025 Female Attorney General’s Departments Outside London Wales 320 295 43810 42320
In post 2025 Female Attorney General’s Departments Outside London West Midlands (England) 475 445 43630 36740
In post 2025 Female Attorney General’s Departments Outside London Yorkshire and The Humber 770 705 46280 42530
In post 2025 Female Attorney General’s Departments Overseas Overseas [c] [c] [c] [c]
In post 2025 Female Cabinet Office London London 2960 2895 54820 47110
In post 2025 Female Cabinet Office Outside London East (England) 145 135 54190 48610
In post 2025 Female Cabinet Office Outside London East Midlands (England) 50 50 54740 56070
In post 2025 Female Cabinet Office Outside London North East (England) 345 325 39240 36730
In post 2025 Female Cabinet Office Outside London North West (England) 680 660 50540 46290
In post 2025 Female Cabinet Office Outside London Northern Ireland 10 10 [c] [c]
In post 2025 Female Cabinet Office Outside London Scotland 505 485 42340 37170
In post 2025 Female Cabinet Office Outside London South East (England) 130 125 52510 45250
In post 2025 Female Cabinet Office Outside London South West (England) 230 225 56470 56070
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 2025-07-16

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".
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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).