Civil Service Statistics data browser (2026)

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

Status Year Function_of_post Organisation Region_london Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 Analysis Active Travel England Outside London Department for Transport 5 5 [c] [c]
In post 2026 Analysis Advisory, Conciliation and Arbitration Service London Department for Business and Trade [c] [c] [c] [c]
In post 2026 Analysis Advisory, Conciliation and Arbitration Service Outside London Department for Business and Trade 15 15 48330 47750
In post 2026 Analysis Animal and Plant Health Agency London Department for Environment, Food and Rural Affairs 5 5 [c] [c]
In post 2026 Analysis Animal and Plant Health Agency Outside London Department for Environment, Food and Rural Affairs 230 220 40040 38800
In post 2026 Analysis Building Digital UK London Department for Science, Innovation and Technology 15 15 56790 54890
In post 2026 Analysis Building Digital UK Outside London Department for Science, Innovation and Technology 5 5 [c] [c]
In post 2026 Analysis Cabinet Office (excl. agencies) London Cabinet Office 165 165 60180 63350
In post 2026 Analysis Cabinet Office (excl. agencies) Outside London Cabinet Office 25 25 49620 46420
In post 2026 Analysis Central Civil Service Fast Stream London Cabinet Office 265 265 33720 31550
In post 2026 Analysis Central Civil Service Fast Stream Outside London Cabinet Office 70 70 36140 35000
In post 2026 Analysis Charity Commission London Charity Commission [c] [c] [c] [c]
In post 2026 Analysis Charity Commission Outside London Charity Commission 45 40 43120 38040
In post 2026 Analysis Companies House London Department for Business and Trade [c] [c] [c] [c]
In post 2026 Analysis Companies House Outside London Department for Business and Trade 30 30 46570 46770
In post 2026 Analysis Competition and Markets Authority London Competition and Markets Authority 115 110 71070 68180
In post 2026 Analysis Competition and Markets Authority Outside London Competition and Markets Authority 40 40 64090 64660
In post 2026 Analysis Consumer Scotland Outside London Scottish Government 10 10 [c] [c]
In post 2026 Analysis Crown Office and Procurator Fiscal Service Outside London Scottish Government 10 5 [c] [c]
In post 2026 Analysis Crown Prosecution Service London Attorney General’s Departments [c] [c] [c] [c]
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.
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".
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).