Civil Service Statistics data browser (2026)

Data preview: All civil servants / Disability / Sex / Parent_department

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Ethnicity, Sexual_orientation, Age

Status Year Disability Sex Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 Declared disabled Female Attorney General’s Departments 1085 985 50960 51540
In post 2026 Declared disabled Female Cabinet Office 765 740 50140 43760
In post 2026 Declared disabled Female Chancellor’s other departments 25 20 [c] [c]
In post 2026 Declared disabled Female Charity Commission 25 25 [c] [c]
In post 2026 Declared disabled Female Competition and Markets Authority 45 45 66860 64190
In post 2026 Declared disabled Female Department for Business and Trade 795 740 44780 40190
In post 2026 Declared disabled Female Department for Culture, Media and Sport 85 80 54140 54630
In post 2026 Declared disabled Female Department for Education 650 605 50790 46970
In post 2026 Declared disabled Female Department for Energy Security and Net Zero 300 290 56120 51510
In post 2026 Declared disabled Female Department for Environment, Food and Rural Affairs 1360 1265 41270 36660
In post 2026 Declared disabled Female Department for Science, Innovation and Technology 550 520 48220 44940
In post 2026 Declared disabled Female Department for Transport 750 645 35230 30540
In post 2026 Declared disabled Female Department for Work and Pensions 14595 12380 34380 32140
In post 2026 Declared disabled Female Department of Health and Social Care 675 645 51300 46980
In post 2026 Declared disabled Female Estyn 5 5 [c] [c]
In post 2026 Declared disabled Female Food Standards Agency 125 120 45710 42910
In post 2026 Declared disabled Female Foreign, Commonwealth and Development Office 465 455 54460 48240
In post 2026 Declared disabled Female HM Land Registry 540 470 35950 32120
In post 2026 Declared disabled Female HM Revenue and Customs 4085 3615 40390 37680
In post 2026 Declared disabled Female HM Treasury 175 165 53600 48890
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
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.
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.
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).