Civil Service Statistics data browser (2026)

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

Status Year Sex Organisation Region_london Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 Female Accountant in Bankruptcy Outside London Scottish Government 60 55 39720 36610
In post 2026 Female Active Travel England London Department for Transport [c] [c] [c] [c]
In post 2026 Female Active Travel England Outside London Department for Transport 45 40 50200 57520
In post 2026 Female Advisory, Conciliation and Arbitration Service London Department for Business and Trade 90 80 47300 43740
In post 2026 Female Advisory, Conciliation and Arbitration Service Outside London Department for Business and Trade 600 540 37470 36550
In post 2026 Female Animal and Plant Health Agency London Department for Environment, Food and Rural Affairs 65 65 43260 39080
In post 2026 Female Animal and Plant Health Agency Outside London Department for Environment, Food and Rural Affairs 1990 1855 36140 33410
In post 2026 Female Animal and Plant Health Agency Unknown Department for Environment, Food and Rural Affairs 25 25 [c] [c]
In post 2026 Female Attorney General’s Office London Attorney General’s Departments 40 40 58590 59170
In post 2026 Female Attorney General’s Office Outside London Attorney General’s Departments [c] [c] [c] [c]
In post 2026 Female Building Digital UK London Department for Science, Innovation and Technology 65 65 56110 59980
In post 2026 Female Building Digital UK Outside London Department for Science, Innovation and Technology 50 50 49130 50060
In post 2026 Female Cabinet Office (excl. agencies) London Cabinet Office 1595 1555 59560 62990
In post 2026 Female Cabinet Office (excl. agencies) Outside London Cabinet Office 1310 1245 44030 38920
In post 2026 Female Central Civil Service Fast Stream London Cabinet Office 745 745 34970 35000
In post 2026 Female Central Civil Service Fast Stream Outside London Cabinet Office 300 300 35690 35000
In post 2026 Female Centre for Environment, Fisheries and Aquaculture Science Outside London Department for Environment, Food and Rural Affairs 325 300 41550 35070
In post 2026 Female Charity Commission London Charity Commission 45 40 54080 60010
In post 2026 Female Charity Commission Outside London Charity Commission 220 200 41390 38040
In post 2026 Female Companies House London Department for Business and Trade [c] [c] [c] [c]
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".
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.
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).