Civil Service Statistics data browser (2026)

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

Status Year Sex Parent_department Region_london Organisation Headcount FTE Mean_salary Median_salary
In post 2026 Female Attorney General’s Departments London Attorney General’s Office 40 40 58590 59170
In post 2026 Female Attorney General’s Departments London Crown Prosecution Service 1340 1255 49650 41070
In post 2026 Female Attorney General’s Departments London Government Legal Department 1865 1715 65390 67370
In post 2026 Female Attorney General’s Departments London HM Crown Prosecution Service Inspectorate 10 10 [c] [c]
In post 2026 Female Attorney General’s Departments London Serious Fraud Office [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments Outside London Attorney General’s Office [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments Outside London Crown Prosecution Service 4430 4075 44610 38000
In post 2026 Female Attorney General’s Departments Outside London Government Legal Department 430 400 62000 61120
In post 2026 Female Attorney General’s Departments Outside London HM Crown Prosecution Service Inspectorate 5 5 [c] [c]
In post 2026 Female Attorney General’s Departments Overseas Crown Prosecution Service [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments Overseas Government Legal Department [c] [c] [c] [c]
In post 2026 Female Cabinet Office London Cabinet Office (excl. agencies) 1595 1555 59560 62990
In post 2026 Female Cabinet Office London Central Civil Service Fast Stream 745 745 34970 35000
In post 2026 Female Cabinet Office London Crown Commercial Service 20 20 [c] [c]
In post 2026 Female Cabinet Office London Government Commercial Organisation 350 345 78550 76110
In post 2026 Female Cabinet Office London Government Property Agency 30 25 [c] [c]
In post 2026 Female Cabinet Office Outside London Cabinet Office (excl. agencies) 1310 1245 44030 38920
In post 2026 Female Cabinet Office Outside London Central Civil Service Fast Stream 300 300 35690 35000
In post 2026 Female Cabinet Office Outside London Crown Commercial Service 405 385 49380 49590
In post 2026 Female Cabinet Office Outside London Government Commercial Organisation 420 410 78380 76110
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).