Civil Service Statistics data browser (2025)

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

Status Year Sexual_orientation Region_london Sex Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight London Female AA 460 405 28980 27800
In post 2025 Heterosexual / straight London Female AO 3545 3135 30610 30070
In post 2025 Heterosexual / straight London Female EO 7955 7345 34910 35180
In post 2025 Heterosexual / straight London Female G6 3745 3525 77430 76280
In post 2025 Heterosexual / straight London Female G7 7780 7440 63660 62250
In post 2025 Heterosexual / straight London Female HEO 6515 6245 41030 41550
In post 2025 Heterosexual / straight London Female SCS level 1695 1595 99030 90390
In post 2025 Heterosexual / straight London Female SEO 6315 6100 48930 48470
In post 2025 Heterosexual / straight London Female Unknown 1420 1335 38430 35900
In post 2025 Heterosexual / straight London Male AA 455 440 29880 29540
In post 2025 Heterosexual / straight London Male AO 2855 2760 33500 30750
In post 2025 Heterosexual / straight London Male EO 5490 5350 35360 35180
In post 2025 Heterosexual / straight London Male G6 3245 3185 78570 77500
In post 2025 Heterosexual / straight London Male G7 6625 6520 64530 63580
In post 2025 Heterosexual / straight London Male HEO 4965 4875 41740 41880
In post 2025 Heterosexual / straight London Male SCS level 1530 1505 103440 93350
In post 2025 Heterosexual / straight London Male SEO 5075 5000 49530 49080
In post 2025 Heterosexual / straight London Male Unknown 510 500 39000 35900
In post 2025 Heterosexual / straight London Unknown AA [c] [c] [c] [c]
In post 2025 Heterosexual / straight London Unknown AO [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 2025-07-17

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).
Responsibility_level_ungrouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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).