Civil Service Statistics data browser (2026)

Data preview: All civil servants / Ethnicity / Organisation / Sex / Parent_department

Status Year Ethnicity Organisation Sex Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 Asian Accountant in Bankruptcy Female Scottish Government [c] [c] [c] [c]
In post 2026 Asian Accountant in Bankruptcy Male Scottish Government [c] [c] [c] [c]
In post 2026 Asian Accountant in Bankruptcy Unknown Scottish Government [c] [c] [c] [c]
In post 2026 Asian Active Travel England Female Department for Transport [c] [c] [c] [c]
In post 2026 Asian Active Travel England Male Department for Transport [c] [c] [c] [c]
In post 2026 Asian Active Travel England Unknown Department for Transport [c] [c] [c] [c]
In post 2026 Asian Advisory, Conciliation and Arbitration Service Female Department for Business and Trade 35 30 37350 36550
In post 2026 Asian Advisory, Conciliation and Arbitration Service Male Department for Business and Trade 20 20 [c] [c]
In post 2026 Asian Advisory, Conciliation and Arbitration Service Unknown Department for Business and Trade [c] [c] [c] [c]
In post 2026 Asian Animal and Plant Health Agency Female Department for Environment, Food and Rural Affairs 100 95 34960 33410
In post 2026 Asian Animal and Plant Health Agency Male Department for Environment, Food and Rural Affairs 55 55 34690 33510
In post 2026 Asian Animal and Plant Health Agency Unknown Department for Environment, Food and Rural Affairs [c] [c] [c] [c]
In post 2026 Asian Attorney General’s Office Female Attorney General’s Departments [c] [c] [c] [c]
In post 2026 Asian Attorney General’s Office Male Attorney General’s Departments [c] [c] [c] [c]
In post 2026 Asian Attorney General’s Office Unknown Attorney General’s Departments [c] [c] [c] [c]
In post 2026 Asian Building Digital UK Female Department for Science, Innovation and Technology 15 15 [c] [c]
In post 2026 Asian Building Digital UK Male Department for Science, Innovation and Technology 10 10 [c] [c]
In post 2026 Asian Building Digital UK Unknown Department for Science, Innovation and Technology [c] [c] [c] [c]
In post 2026 Asian Cabinet Office (excl. agencies) Female Cabinet Office 245 235 49190 43890
In post 2026 Asian Cabinet Office (excl. agencies) Male Cabinet Office 155 150 52000 47950
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.
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.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).