Civil Service Statistics data browser (2026)

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

Status Year Parent_department Organisation Region_london Disability Headcount FTE Mean_salary Median_salary
In post 2026 Attorney General’s Departments Attorney General’s Office London Declared disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Attorney General’s Office London Declared non-disabled 10 10 [c] [c]
In post 2026 Attorney General’s Departments Attorney General’s Office London Unknown 50 50 65280 66310
In post 2026 Attorney General’s Departments Attorney General’s Office Outside London Declared disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Attorney General’s Office Outside London Declared non-disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Crown Prosecution Service London Declared disabled 265 245 52310 46850
In post 2026 Attorney General’s Departments Crown Prosecution Service London Declared non-disabled 955 895 53980 51470
In post 2026 Attorney General’s Departments Crown Prosecution Service London Undeclared 20 20 [c] [c]
In post 2026 Attorney General’s Departments Crown Prosecution Service London Unknown 720 705 45810 37620
In post 2026 Attorney General’s Departments Crown Prosecution Service Outside London Declared disabled 940 860 46350 39890
In post 2026 Attorney General’s Departments Crown Prosecution Service Outside London Declared non-disabled 3040 2785 49070 44440
In post 2026 Attorney General’s Departments Crown Prosecution Service Outside London Undeclared 45 45 42760 35940
In post 2026 Attorney General’s Departments Crown Prosecution Service Outside London Unknown 2330 2250 42010 34280
In post 2026 Attorney General’s Departments Crown Prosecution Service Overseas Declared disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Crown Prosecution Service Overseas Declared non-disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Crown Prosecution Service Overseas Unknown [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Government Legal Department London Declared disabled 260 235 67460 68420
In post 2026 Attorney General’s Departments Government Legal Department London Declared non-disabled 1665 1550 68540 69460
In post 2026 Attorney General’s Departments Government Legal Department London Undeclared 65 60 65930 67370
In post 2026 Attorney General’s Departments Government Legal Department London Unknown 765 730 57530 63190
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).