Civil Service Statistics data browser (2025)

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

Status Year Disability Sexual_orientation Region_london Ethnicity Headcount FTE Mean_salary Median_salary
In post 2025 Declared disabled Heterosexual / straight London Asian 1620 1505 43020 36680
In post 2025 Declared disabled Heterosexual / straight London Black 1490 1400 40350 35680
In post 2025 Declared disabled Heterosexual / straight London Mixed 455 435 46690 42730
In post 2025 Declared disabled Heterosexual / straight London Other ethnicity 165 155 46520 41550
In post 2025 Declared disabled Heterosexual / straight London Undeclared 150 135 41980 35700
In post 2025 Declared disabled Heterosexual / straight London Unknown 65 60 44570 42900
In post 2025 Declared disabled Heterosexual / straight London White 4740 4495 52840 48310
In post 2025 Declared disabled Heterosexual / straight Outside London Asian 2525 2315 34090 30980
In post 2025 Declared disabled Heterosexual / straight Outside London Black 955 885 34300 30980
In post 2025 Declared disabled Heterosexual / straight Outside London Mixed 1015 945 36190 30980
In post 2025 Declared disabled Heterosexual / straight Outside London Other ethnicity 200 185 35700 30980
In post 2025 Declared disabled Heterosexual / straight Outside London Undeclared 555 510 34820 30980
In post 2025 Declared disabled Heterosexual / straight Outside London Unknown 285 250 35980 30980
In post 2025 Declared disabled Heterosexual / straight Outside London White 39800 36145 36810 31210
In post 2025 Declared disabled Heterosexual / straight Overseas Asian 10 10 [c] [c]
In post 2025 Declared disabled Heterosexual / straight Overseas Black 10 10 [c] [c]
In post 2025 Declared disabled Heterosexual / straight Overseas Mixed 5 5 [c] [c]
In post 2025 Declared disabled Heterosexual / straight Overseas Other ethnicity [c] [c] [c] [c]
In post 2025 Declared disabled Heterosexual / straight Overseas Undeclared [c] [c] [c] [c]
In post 2025 Declared disabled Heterosexual / straight Overseas 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).
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).