Civil Service Statistics data browser (2026)

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

Status Year Region_london Disability Sex Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 London Declared disabled Female Attorney General’s Departments 355 320 60240 63190
In post 2026 London Declared disabled Female Cabinet Office 330 325 52840 47950
In post 2026 London Declared disabled Female Chancellor’s other departments 20 15 [c] [c]
In post 2026 London Declared disabled Female Charity Commission [c] [c] [c] [c]
In post 2026 London Declared disabled Female Competition and Markets Authority 30 30 67920 64660
In post 2026 London Declared disabled Female Department for Business and Trade 275 265 54230 48270
In post 2026 London Declared disabled Female Department for Culture, Media and Sport 55 50 58460 59510
In post 2026 London Declared disabled Female Department for Education 175 165 56910 52800
In post 2026 London Declared disabled Female Department for Energy Security and Net Zero 190 185 60100 62540
In post 2026 London Declared disabled Female Department for Environment, Food and Rural Affairs 210 200 53350 47150
In post 2026 London Declared disabled Female Department for Science, Innovation and Technology 145 140 56530 59180
In post 2026 London Declared disabled Female Department for Transport 85 85 55970 51360
In post 2026 London Declared disabled Female Department for Work and Pensions 1570 1380 40630 37020
In post 2026 London Declared disabled Female Department of Health and Social Care 365 350 52960 47890
In post 2026 London Declared disabled Female Food Standards Agency 20 15 [c] [c]
In post 2026 London Declared disabled Female Foreign, Commonwealth and Development Office 260 255 59170 55990
In post 2026 London Declared disabled Female HM Land Registry 15 15 [c] [c]
In post 2026 London Declared disabled Female HM Revenue and Customs 525 475 49410 44980
In post 2026 London Declared disabled Female HM Treasury 105 100 56410 52700
In post 2026 London Declared disabled Female Home Office 1035 955 47810 43250
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".
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).