Civil Service Statistics data browser (2025)

Data preview: All civil servants / Function_of_post / Region_ITL1 / Region_london

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Function_of_post Region_ITL1 Region_london Headcount FTE Mean_salary Median_salary
In post 2025 Analysis East (England) Outside London 100 90 43370 41470
In post 2025 Analysis East Midlands (England) Outside London 180 170 42960 41220
In post 2025 Analysis London London 5375 5225 57400 54660
In post 2025 Analysis North East (England) Outside London 590 565 42010 40170
In post 2025 Analysis North West (England) Outside London 1165 1130 44130 41650
In post 2025 Analysis Northern Ireland Outside London 15 15 47840 45780
In post 2025 Analysis Overseas Overseas 75 75 55850 58000
In post 2025 Analysis Scotland Outside London 410 390 47670 43000
In post 2025 Analysis South East (England) Outside London 980 920 46270 43120
In post 2025 Analysis South West (England) Outside London 735 700 46120 44100
In post 2025 Analysis Unknown Unknown 20 20 50730 45040
In post 2025 Analysis Wales Outside London 1190 1140 44550 43000
In post 2025 Analysis West Midlands (England) Outside London 395 385 44690 41650
In post 2025 Analysis Yorkshire and The Humber Outside London 995 950 47370 45500
In post 2025 Commercial East (England) Outside London 275 260 51200 46790
In post 2025 Commercial East Midlands (England) Outside London 160 155 48010 42830
In post 2025 Commercial London London 1975 1935 63800 61740
In post 2025 Commercial North East (England) Outside London 180 180 48970 42120
In post 2025 Commercial North West (England) Outside London 980 955 50880 45600
In post 2025 Commercial Northern Ireland Outside London 20 20 42230 40050
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).
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.
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.
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).