Civil Service Statistics data browser (2026)

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

Status Year Region_london Disability Parent_department Organisation Headcount FTE Mean_salary Median_salary
In post 2026 London Declared disabled Attorney General’s Departments Attorney General’s Office [c] [c] [c] [c]
In post 2026 London Declared disabled Attorney General’s Departments Crown Prosecution Service 265 245 52310 46850
In post 2026 London Declared disabled Attorney General’s Departments Government Legal Department 260 235 67460 68420
In post 2026 London Declared disabled Attorney General’s Departments HM Crown Prosecution Service Inspectorate [c] [c] [c] [c]
In post 2026 London Declared disabled Attorney General’s Departments Serious Fraud Office [c] [c] [c] [c]
In post 2026 London Declared disabled Cabinet Office Cabinet Office (excl. agencies) 325 320 58100 57540
In post 2026 London Declared disabled Cabinet Office Central Civil Service Fast Stream 180 180 34940 35000
In post 2026 London Declared disabled Cabinet Office Crown Commercial Service [c] [c] [c] [c]
In post 2026 London Declared disabled Cabinet Office Government Commercial Organisation 80 75 77360 76270
In post 2026 London Declared disabled Cabinet Office Government Property Agency 10 10 [c] [c]
In post 2026 London Declared disabled Chancellor’s other departments Government Actuary’s Department 15 15 [c] [c]
In post 2026 London Declared disabled Chancellor’s other departments National Savings and Investments 20 20 [c] [c]
In post 2026 London Declared disabled Charity Commission Charity Commission [c] [c] [c] [c]
In post 2026 London Declared disabled Competition and Markets Authority Competition and Markets Authority 55 55 64540 64190
In post 2026 London Declared disabled Department for Business and Trade Advisory, Conciliation and Arbitration Service 15 15 [c] [c]
In post 2026 London Declared disabled Department for Business and Trade Companies House [c] [c] [c] [c]
In post 2026 London Declared disabled Department for Business and Trade Department for Business and Trade (excl. agencies) 390 380 57850 57160
In post 2026 London Declared disabled Department for Business and Trade The Insolvency Service 60 60 43910 40840
In post 2026 London Declared disabled Department for Culture, Media and Sport Department for Culture, Media and Sport 75 70 56420 59230
In post 2026 London Declared disabled Department for Education Department for Education (excl. agencies) 255 245 55630 50490
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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.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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.
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).