Civil Service Statistics data browser (2025)

Data preview: All civil servants / Parent_department / Responsibility_level_grouped / Disability

Explore further: Organisation, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Sexual_orientation, Age

Status Year Parent_department Responsibility_level_grouped Disability Headcount FTE Mean_salary Median_salary
In post 2025 Attorney General’s Departments AA/AO Declared disabled 240 220 26600 25700
In post 2025 Attorney General’s Departments AA/AO Declared non-disabled 780 695 26690 25700
In post 2025 Attorney General’s Departments AA/AO Undeclared 15 15 [c] [c]
In post 2025 Attorney General’s Departments AA/AO Unknown 535 515 26400 25700
In post 2025 Attorney General’s Departments EO Declared disabled 255 235 31850 31350
In post 2025 Attorney General’s Departments EO Declared non-disabled 1140 1060 31840 31350
In post 2025 Attorney General’s Departments EO Undeclared 25 20 [c] [c]
In post 2025 Attorney General’s Departments EO Unknown 670 655 31450 31350
In post 2025 Attorney General’s Departments G6/G7 Declared disabled 635 580 65430 63040
In post 2025 Attorney General’s Departments G6/G7 Declared non-disabled 3455 3195 66650 65250
In post 2025 Attorney General’s Departments G6/G7 Undeclared 70 65 64490 61200
In post 2025 Attorney General’s Departments G6/G7 Unknown 1395 1320 63200 61200
In post 2025 Attorney General’s Departments SCS level Declared disabled 35 35 95130 88540
In post 2025 Attorney General’s Departments SCS level Declared non-disabled 255 245 94900 91460
In post 2025 Attorney General’s Departments SCS level Undeclared [c] [c] [c] [c]
In post 2025 Attorney General’s Departments SCS level Unknown 60 60 101210 91310
In post 2025 Attorney General’s Departments SEO/HEO Declared disabled 240 230 40460 38630
In post 2025 Attorney General’s Departments SEO/HEO Declared non-disabled 980 950 40040 38630
In post 2025 Attorney General’s Departments SEO/HEO Undeclared 20 20 [c] [c]
In post 2025 Attorney General’s Departments SEO/HEO Unknown 550 540 41150 42320
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 2025-07-16

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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.
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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.
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).