Civil Service Statistics data browser (2025)

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

Status Year Ethnicity Sexual_orientation Sex Responsibility_level_ungrouped Headcount FTE Mean_salary Median_salary
In post 2025 Asian Heterosexual / straight Female AA 215 180 26530 26340
In post 2025 Asian Heterosexual / straight Female AO 4275 3670 27040 26640
In post 2025 Asian Heterosexual / straight Female EO 6365 5785 32410 30980
In post 2025 Asian Heterosexual / straight Female G6 570 550 77470 76380
In post 2025 Asian Heterosexual / straight Female G7 1855 1795 62480 61610
In post 2025 Asian Heterosexual / straight Female HEO 3280 3135 39020 38280
In post 2025 Asian Heterosexual / straight Female SCS level 160 150 102480 91150
In post 2025 Asian Heterosexual / straight Female SEO 2350 2270 47140 46730
In post 2025 Asian Heterosexual / straight Female Unknown 870 800 31860 29460
In post 2025 Asian Heterosexual / straight Male AA 310 295 27930 27840
In post 2025 Asian Heterosexual / straight Male AO 3450 3300 28250 26640
In post 2025 Asian Heterosexual / straight Male EO 5595 5480 32190 30980
In post 2025 Asian Heterosexual / straight Male G6 435 430 77820 76980
In post 2025 Asian Heterosexual / straight Male G7 1630 1610 62860 62080
In post 2025 Asian Heterosexual / straight Male HEO 2915 2855 39100 38280
In post 2025 Asian Heterosexual / straight Male SCS level 155 155 104640 96710
In post 2025 Asian Heterosexual / straight Male SEO 2000 1975 47690 46700
In post 2025 Asian Heterosexual / straight Male Unknown 380 360 32150 29980
In post 2025 Asian Heterosexual / straight Unknown AA [c] [c] [c] [c]
In post 2025 Asian Heterosexual / straight 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 2025-07-18

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).
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).