Civil Service Statistics data browser (2025)

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

Status Year Sexual_orientation Disability Region_london Age Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight Declared disabled London 16-19 [c] [c] [c] [c]
In post 2025 Heterosexual / straight Declared disabled London 20-29 1070 1055 42470 39260
In post 2025 Heterosexual / straight Declared disabled London 30-39 1755 1695 50410 46730
In post 2025 Heterosexual / straight Declared disabled London 40-49 2030 1920 52920 47460
In post 2025 Heterosexual / straight Declared disabled London 50-59 2450 2335 48280 42450
In post 2025 Heterosexual / straight Declared disabled London 60-64 980 860 43550 35900
In post 2025 Heterosexual / straight Declared disabled London 65+ 405 325 40350 35680
In post 2025 Heterosexual / straight Declared disabled London Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Declared disabled Outside London 16-19 30 30 26540 26340
In post 2025 Heterosexual / straight Declared disabled Outside London 20-29 3840 3735 32270 30980
In post 2025 Heterosexual / straight Declared disabled Outside London 30-39 8080 7635 36710 33550
In post 2025 Heterosexual / straight Declared disabled Outside London 40-49 10435 9695 38680 34170
In post 2025 Heterosexual / straight Declared disabled Outside London 50-59 15310 14105 37300 30980
In post 2025 Heterosexual / straight Declared disabled Outside London 60-64 5815 4680 34630 30980
In post 2025 Heterosexual / straight Declared disabled Outside London 65+ 1825 1345 32860 30980
In post 2025 Heterosexual / straight Declared disabled Outside London Unknown [c] [c] [c] [c]
In post 2025 Heterosexual / straight Declared disabled Overseas 16-19 [c] [c] [c] [c]
In post 2025 Heterosexual / straight Declared disabled Overseas 20-29 20 20 [c] [c]
In post 2025 Heterosexual / straight Declared disabled Overseas 30-39 55 55 52910 56110
In post 2025 Heterosexual / straight Declared disabled Overseas 40-49 45 45 59920 60670
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".
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).