Civil Service Statistics data browser (2025)

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

Status Year Profession_of_post Parent_department Sex Organisation Headcount FTE Mean_salary Median_salary
In post 2025 Actuary Chancellor’s other departments Female Government Actuary’s Department 60 55 87690 88750
In post 2025 Actuary Chancellor’s other departments Male Government Actuary’s Department 75 75 93900 91290
In post 2025 Clinical Cabinet Office Female Cabinet Office (excl. agencies) [c] [c] [c] [c]
In post 2025 Clinical Cabinet Office Male Cabinet Office (excl. agencies) [c] [c] [c] [c]
In post 2025 Clinical Department for Environment, Food and Rural Affairs Female Animal and Plant Health Agency [c] [c] [c] [c]
In post 2025 Clinical Department for Environment, Food and Rural Affairs Female Department for Environment, Food and Rural Affairs (excl. agencies) [c] [c] [c] [c]
In post 2025 Clinical Department for Environment, Food and Rural Affairs Female Rural Payments Agency [c] [c] [c] [c]
In post 2025 Clinical Department for Environment, Food and Rural Affairs Male Animal and Plant Health Agency [c] [c] [c] [c]
In post 2025 Clinical Department for Environment, Food and Rural Affairs Male Department for Environment, Food and Rural Affairs (excl. agencies) [c] [c] [c] [c]
In post 2025 Clinical Department for Environment, Food and Rural Affairs Male Rural Payments Agency [c] [c] [c] [c]
In post 2025 Clinical Department for Transport Female Driver and Vehicle Licensing Agency 30 25 85740 95230
In post 2025 Clinical Department for Transport Female Maritime and Coastguard Agency [c] [c] [c] [c]
In post 2025 Clinical Department for Transport Male Driver and Vehicle Licensing Agency 15 15 [c] [c]
In post 2025 Clinical Department for Transport Male Maritime and Coastguard Agency [c] [c] [c] [c]
In post 2025 Clinical Department for Work and Pensions Female Department for Work and Pensions (excl. agencies) 40 35 54810 42610
In post 2025 Clinical Department for Work and Pensions Male Department for Work and Pensions (excl. agencies) 10 10 [c] [c]
In post 2025 Clinical Department of Health and Social Care Female Department of Health and Social Care (excl. agencies) 170 160 60280 55770
In post 2025 Clinical Department of Health and Social Care Female Medicines and Healthcare Products Regulatory Agency 70 65 72090 73320
In post 2025 Clinical Department of Health and Social Care Female UK Health Security Agency 110 95 116640 122800
In post 2025 Clinical Department of Health and Social Care Male Department of Health and Social Care (excl. agencies) 40 40 76490 62320
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 2025-07-18

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.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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.
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).