Civil Service Statistics data browser (2025)

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

Status Year Sexual_orientation Profession_of_post Parent_department Sex Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight Actuary Chancellor’s other departments Female 55 50 87920 88750
In post 2025 Heterosexual / straight Actuary Chancellor’s other departments Male 60 60 95380 92990
In post 2025 Heterosexual / straight Actuary Chancellor’s other departments Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Cabinet Office Female [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Cabinet Office Male [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Cabinet Office Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Environment, Food and Rural Affairs Female [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Environment, Food and Rural Affairs Male [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Environment, Food and Rural Affairs Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Transport Female 25 20 [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Transport Male 10 10 [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Transport Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Work and Pensions Female 35 30 53640 42610
In post 2025 Heterosexual / straight Clinical Department for Work and Pensions Male 10 5 [c] [c]
In post 2025 Heterosexual / straight Clinical Department for Work and Pensions Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Department of Health and Social Care Female 240 225 74750 60420
In post 2025 Heterosexual / straight Clinical Department of Health and Social Care Male 95 90 93390 82950
In post 2025 Heterosexual / straight Clinical Department of Health and Social Care Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Clinical Ministry of Defence Female 750 660 53330 44960
In post 2025 Heterosexual / straight Clinical Ministry of Defence Male 260 235 71290 53410
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.
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.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
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).