Civil Service Statistics data browser (2025)

Data preview: All civil servants / Profession_of_post / Region_ITL2 / Function_of_post

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL3, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Profession_of_post Region_ITL2 Function_of_post Headcount FTE Mean_salary Median_salary
In post 2025 Actuary East Central Scotland Analysis 15 15 86190 84350
In post 2025 Actuary Inner London - East Analysis 120 110 91180 89640
In post 2025 Actuary Inner London - East Commercial [c] [c] [c] [c]
In post 2025 Clinical Bedfordshire and Hertfordshire No function 35 30 60800 45560
In post 2025 Clinical Berkshire, Buckinghamshire and Oxfordshire No function 105 90 63320 45560
In post 2025 Clinical Cambridgeshire and Peterborough No function 35 35 65010 52810
In post 2025 Clinical Cheshire No function 10 10 [c] [c]
In post 2025 Clinical Cornwall and Isles of Scilly No function 30 25 56060 42180
In post 2025 Clinical Cornwall and Isles of Scilly Unknown [c] [c] [c] [c]
In post 2025 Clinical Cumbria No function [c] [c] [c] [c]
In post 2025 Clinical Derbyshire and Nottinghamshire Commercial [c] [c] [c] [c]
In post 2025 Clinical Derbyshire and Nottinghamshire No function 125 115 52750 47340
In post 2025 Clinical Devon No function 140 120 46540 36480
In post 2025 Clinical Devon Unknown [c] [c] [c] [c]
In post 2025 Clinical East Central Scotland No function 30 30 55750 49150
In post 2025 Clinical East Yorkshire and Northern Lincolnshire No function 10 10 46600 35150
In post 2025 Clinical Eastern Scotland No function 20 20 63210 47960
In post 2025 Clinical Essex No function 50 45 61080 45560
In post 2025 Clinical Gloucestershire and Wiltshire No function 210 175 55410 44960
In post 2025 Clinical Greater Manchester No function 20 20 101880 109720
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 2025-07-16

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_ITL2 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 2 divides into Northern Ireland, counties in England (most grouped), groups of districts in Greater London, groups of unitary authorities in Wales, groups of council areas in Scotland.
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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Two bodies did not report any professions information for their employees. These are as follows: Scottish Forestry and Forestry and Land Scotland.
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).