Civil Service Statistics data browser (2025)

Data preview: All civil servants / Sexual_orientation / Ethnicity / Region_london / Disability

Status Year Sexual_orientation Ethnicity Region_london Disability Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight Asian London Declared disabled 1620 1505 43020 36680
In post 2025 Heterosexual / straight Asian London Declared non-disabled 10415 9920 45100 40310
In post 2025 Heterosexual / straight Asian London Undeclared 575 555 46680 41550
In post 2025 Heterosexual / straight Asian London Unknown 1415 1370 45530 41550
In post 2025 Heterosexual / straight Asian Outside London Declared disabled 2525 2315 34090 30980
In post 2025 Heterosexual / straight Asian Outside London Declared non-disabled 17415 16405 34880 30980
In post 2025 Heterosexual / straight Asian Outside London Undeclared 805 755 35330 30980
In post 2025 Heterosexual / straight Asian Outside London Unknown 1840 1760 37020 31640
In post 2025 Heterosexual / straight Asian Overseas Declared disabled 10 10 [c] [c]
In post 2025 Heterosexual / straight Asian Overseas Declared non-disabled 115 115 53230 44900
In post 2025 Heterosexual / straight Asian Overseas Undeclared [c] [c] [c] [c]
In post 2025 Heterosexual / straight Asian Overseas Unknown 30 30 69850 62890
In post 2025 Heterosexual / straight Asian Unknown Declared disabled [c] [c] [c] [c]
In post 2025 Heterosexual / straight Asian Unknown Declared non-disabled 35 35 42130 33600
In post 2025 Heterosexual / straight Asian Unknown Undeclared [c] [c] [c] [c]
In post 2025 Heterosexual / straight Asian Unknown Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Black London Declared disabled 1490 1400 40350 35680
In post 2025 Heterosexual / straight Black London Declared non-disabled 7255 7005 41610 37370
In post 2025 Heterosexual / straight Black London Undeclared 375 355 41690 37780
In post 2025 Heterosexual / straight Black London Unknown 825 810 43190 39990
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 2025-07-21

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).
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".
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.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).