Civil Service Statistics data browser (2026)

Data preview: All civil servants / Sexual_orientation / Parent_department / Region_london

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Disability, Age

Status Year Sexual_orientation Parent_department Region_london Headcount FTE Mean_salary Median_salary
In post 2026 Heterosexual / straight Attorney General’s Departments London 2890 2715 61300 64600
In post 2026 Heterosexual / straight Attorney General’s Departments Outside London 4585 4275 48730 45020
In post 2026 Heterosexual / straight Attorney General’s Departments Overseas [c] [c] [c] [c]
In post 2026 Heterosexual / straight Cabinet Office London 2485 2430 65190 64120
In post 2026 Heterosexual / straight Cabinet Office Outside London 3210 3105 53390 45730
In post 2026 Heterosexual / straight Chancellor’s other departments London 305 295 70750 61740
In post 2026 Heterosexual / straight Chancellor’s other departments Outside London 95 90 57860 53170
In post 2026 Heterosexual / straight Charity Commission London 45 45 50870 47330
In post 2026 Heterosexual / straight Charity Commission Outside London 235 220 42890 38040
In post 2026 Heterosexual / straight Competition and Markets Authority London 585 570 73450 66300
In post 2026 Heterosexual / straight Competition and Markets Authority Outside London 195 190 63350 64190
In post 2026 Heterosexual / straight Department for Business and Trade London 2815 2740 57910 56740
In post 2026 Heterosexual / straight Department for Business and Trade Outside London 4185 3970 42250 39260
In post 2026 Heterosexual / straight Department for Business and Trade Overseas 85 85 93390 90130
In post 2026 Heterosexual / straight Department for Culture, Media and Sport London 550 525 60580 60370
In post 2026 Heterosexual / straight Department for Culture, Media and Sport Outside London 225 220 47480 41670
In post 2026 Heterosexual / straight Department for Education London 1630 1565 59760 62340
In post 2026 Heterosexual / straight Department for Education Outside London 4655 4445 50120 43480
In post 2026 Heterosexual / straight Department for Energy Security and Net Zero London 2170 2120 63300 64840
In post 2026 Heterosexual / straight Department for Energy Security and Net Zero Outside London 1035 1010 53360 47990
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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).