Civil Service Statistics data browser (2025)

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

Status Year Sex Sexual_orientation Parent_department Region_london Headcount FTE Mean_salary Median_salary
In post 2025 Female Heterosexual / straight Attorney General’s Departments London 2055 1900 57580 61200
In post 2025 Female Heterosexual / straight Attorney General’s Departments Outside London 3240 2975 44810 38630
In post 2025 Female Heterosexual / straight Attorney General’s Departments Overseas [c] [c] [c] [c]
In post 2025 Female Heterosexual / straight Cabinet Office London 1700 1645 60960 61740
In post 2025 Female Heterosexual / straight Cabinet Office Outside London 2125 2030 49290 42890
In post 2025 Female Heterosexual / straight Cabinet Office Unknown 25 25 [c] [c]
In post 2025 Female Heterosexual / straight Chancellor’s other departments London 130 120 65160 55270
In post 2025 Female Heterosexual / straight Chancellor’s other departments Outside London 40 40 57260 50120
In post 2025 Female Heterosexual / straight Charity Commission London 25 25 [c] [c]
In post 2025 Female Heterosexual / straight Charity Commission Outside London 135 125 41310 36840
In post 2025 Female Heterosexual / straight Competition and Markets Authority London 370 350 69570 63780
In post 2025 Female Heterosexual / straight Competition and Markets Authority Outside London 110 105 59690 61500
In post 2025 Female Heterosexual / straight Department for Business and Trade London 1425 1375 54240 49680
In post 2025 Female Heterosexual / straight Department for Business and Trade Outside London 2185 2025 39180 35310
In post 2025 Female Heterosexual / straight Department for Business and Trade Overseas 40 40 83970 82080
In post 2025 Female Heterosexual / straight Department for Culture, Media and Sport London 345 320 58520 58370
In post 2025 Female Heterosexual / straight Department for Culture, Media and Sport Outside London 90 90 43300 38140
In post 2025 Female Heterosexual / straight Department for Education London 1085 1025 56650 60370
In post 2025 Female Heterosexual / straight Department for Education Outside London 2860 2685 46460 41460
In post 2025 Female Heterosexual / straight Department for Education Unknown [c] [c] [c] [c]
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.
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".
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).