Civil Service Statistics data browser (2026)

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

Status Year Sexual_orientation Responsibility_level_ungrouped Age Region_london Headcount FTE Mean_salary Median_salary
In post 2026 Heterosexual / straight AA 16-19 London [c] [c] [c] [c]
In post 2026 Heterosexual / straight AA 16-19 Outside London 55 55 28520 29430
In post 2026 Heterosexual / straight AA 16-19 Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight AA 20-29 London 95 95 32920 34800
In post 2026 Heterosexual / straight AA 20-29 Outside London 1315 1280 29270 30660
In post 2026 Heterosexual / straight AA 20-29 Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight AA 30-39 London 115 110 34240 34800
In post 2026 Heterosexual / straight AA 30-39 Outside London 1335 1260 29200 30660
In post 2026 Heterosexual / straight AA 30-39 Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight AA 40-49 London 145 135 33140 34800
In post 2026 Heterosexual / straight AA 40-49 Outside London 1495 1390 29060 29260
In post 2026 Heterosexual / straight AA 40-49 Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight AA 50-59 London 215 205 32020 30950
In post 2026 Heterosexual / straight AA 50-59 Outside London 2525 2345 28720 28400
In post 2026 Heterosexual / straight AA 50-59 Unknown 5 5 [c] [c]
In post 2026 Heterosexual / straight AA 60-64 London 160 145 31200 30950
In post 2026 Heterosexual / straight AA 60-64 Outside London 1670 1400 28220 27650
In post 2026 Heterosexual / straight AA 60-64 Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight AA 65+ London 155 125 29610 28630
In post 2026 Heterosexual / straight AA 65+ Outside London 840 620 27690 27650
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 2026-07-16

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.
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".
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.
The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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).