Civil Service Statistics data browser (2026)

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

Status Year Sex Parent_department Function_of_post Region_london Headcount FTE Mean_salary Median_salary
In post 2026 Female Attorney General’s Departments Analysis London [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments Analysis Outside London [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments Commercial London 10 5 [c] [c]
In post 2026 Female Attorney General’s Departments Commercial Outside London 25 25 [c] [c]
In post 2026 Female Attorney General’s Departments Communications London 30 30 [c] [c]
In post 2026 Female Attorney General’s Departments Communications Outside London 25 25 [c] [c]
In post 2026 Female Attorney General’s Departments Digital and Data London 35 35 48200 45980
In post 2026 Female Attorney General’s Departments Digital and Data Outside London 75 75 47280 44020
In post 2026 Female Attorney General’s Departments Finance London 35 35 47410 39890
In post 2026 Female Attorney General’s Departments Finance Outside London 75 70 41020 38000
In post 2026 Female Attorney General’s Departments Legal London 3020 2795 59720 63190
In post 2026 Female Attorney General’s Departments Legal Outside London 4420 4055 46320 39150
In post 2026 Female Attorney General’s Departments Legal Overseas [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments No function London [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments No function Outside London [c] [c] [c] [c]
In post 2026 Female Attorney General’s Departments People London 90 85 46500 39890
In post 2026 Female Attorney General’s Departments People Outside London 145 140 44480 38000
In post 2026 Female Attorney General’s Departments Project Delivery London 20 20 [c] [c]
In post 2026 Female Attorney General’s Departments Project Delivery Outside London 60 55 48280 43800
In post 2026 Female Attorney General’s Departments Property London [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.
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".
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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.
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).