Civil Service Statistics data browser (2026)

Data preview: All civil servants / Parent_department / Sex / Age / Disability

Status Year Parent_department Sex Age Disability Headcount FTE Mean_salary Median_salary
In post 2026 Attorney General’s Departments Female 16-19 Declared disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Female 16-19 Declared non-disabled [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Female 16-19 Undeclared [c] [c] [c] [c]
In post 2026 Attorney General’s Departments Female 16-19 Unknown 15 15 [c] [c]
In post 2026 Attorney General’s Departments Female 20-29 Declared disabled 135 135 35820 32110
In post 2026 Attorney General’s Departments Female 20-29 Declared non-disabled 400 395 39220 34280
In post 2026 Attorney General’s Departments Female 20-29 Undeclared 15 15 [c] [c]
In post 2026 Attorney General’s Departments Female 20-29 Unknown 1090 1080 34850 32110
In post 2026 Attorney General’s Departments Female 30-39 Declared disabled 225 215 51410 56240
In post 2026 Attorney General’s Departments Female 30-39 Declared non-disabled 850 795 56490 61120
In post 2026 Attorney General’s Departments Female 30-39 Undeclared 35 35 51790 59660
In post 2026 Attorney General’s Departments Female 30-39 Unknown 780 750 49240 51540
In post 2026 Attorney General’s Departments Female 40-49 Declared disabled 250 225 54460 58200
In post 2026 Attorney General’s Departments Female 40-49 Declared non-disabled 1270 1130 59610 63190
In post 2026 Attorney General’s Departments Female 40-49 Undeclared 30 25 62960 67280
In post 2026 Attorney General’s Departments Female 40-49 Unknown 540 500 53960 56780
In post 2026 Attorney General’s Departments Female 50-59 Declared disabled 345 310 53810 56780
In post 2026 Attorney General’s Departments Female 50-59 Declared non-disabled 1080 985 56650 61700
In post 2026 Attorney General’s Departments Female 50-59 Undeclared 15 10 [c] [c]
In post 2026 Attorney General’s Departments Female 50-59 Unknown 380 350 55910 58330
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
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.
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).