Civil Service Statistics data browser (2026)

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

Status Year Region_london Organisation Disability Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 London Active Travel England Declared disabled Department for Transport [c] [c] [c] [c]
In post 2026 London Active Travel England Declared non-disabled Department for Transport 5 5 [c] [c]
In post 2026 London Active Travel England Undeclared Department for Transport [c] [c] [c] [c]
In post 2026 London Active Travel England Unknown Department for Transport [c] [c] [c] [c]
In post 2026 London Advisory, Conciliation and Arbitration Service Declared disabled Department for Business and Trade 15 15 [c] [c]
In post 2026 London Advisory, Conciliation and Arbitration Service Declared non-disabled Department for Business and Trade 80 75 53870 50920
In post 2026 London Advisory, Conciliation and Arbitration Service Undeclared Department for Business and Trade 5 5 [c] [c]
In post 2026 London Advisory, Conciliation and Arbitration Service Unknown Department for Business and Trade 60 55 45710 43740
In post 2026 London Animal and Plant Health Agency Declared disabled Department for Environment, Food and Rural Affairs 10 10 [c] [c]
In post 2026 London Animal and Plant Health Agency Declared non-disabled Department for Environment, Food and Rural Affairs 90 90 40630 38910
In post 2026 London Animal and Plant Health Agency Undeclared Department for Environment, Food and Rural Affairs 10 10 [c] [c]
In post 2026 London Animal and Plant Health Agency Unknown Department for Environment, Food and Rural Affairs 10 10 [c] [c]
In post 2026 London Attorney General’s Office Declared disabled Attorney General’s Departments [c] [c] [c] [c]
In post 2026 London Attorney General’s Office Declared non-disabled Attorney General’s Departments 10 10 [c] [c]
In post 2026 London Attorney General’s Office Unknown Attorney General’s Departments 50 50 65280 66310
In post 2026 London Building Digital UK Declared disabled Department for Science, Innovation and Technology 10 10 [c] [c]
In post 2026 London Building Digital UK Declared non-disabled Department for Science, Innovation and Technology 55 50 56810 60380
In post 2026 London Building Digital UK Undeclared Department for Science, Innovation and Technology [c] [c] [c] [c]
In post 2026 London Building Digital UK Unknown Department for Science, Innovation and Technology 65 60 55220 58620
In post 2026 London Cabinet Office (excl. agencies) Declared disabled Cabinet Office 325 320 58100 57540
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".
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).