Civil Service Statistics data browser (2025)

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

Status Year Region_london Parent_department Function_of_post Organisation Headcount FTE Mean_salary Median_salary
In post 2025 London Attorney General’s Departments Analysis Attorney General’s Office [c] [c] [c] [c]
In post 2025 London Attorney General’s Departments Analysis Government Legal Department 5 5 [c] [c]
In post 2025 London Attorney General’s Departments Commercial Crown Prosecution Service 10 5 [c] [c]
In post 2025 London Attorney General’s Departments Commercial Serious Fraud Office 5 5 [c] [c]
In post 2025 London Attorney General’s Departments Communications Attorney General’s Office [c] [c] [c] [c]
In post 2025 London Attorney General’s Departments Communications Crown Prosecution Service 30 30 47900 44270
In post 2025 London Attorney General’s Departments Communications Government Legal Department 10 10 48260 40180
In post 2025 London Attorney General’s Departments Communications Serious Fraud Office 10 10 49370 46630
In post 2025 London Attorney General’s Departments Digital and Data Crown Prosecution Service 60 60 47950 44270
In post 2025 London Attorney General’s Departments Digital and Data Government Legal Department 25 25 57980 62850
In post 2025 London Attorney General’s Departments Digital and Data Serious Fraud Office 75 75 48300 45050
In post 2025 London Attorney General’s Departments Finance Crown Prosecution Service 25 25 50630 44480
In post 2025 London Attorney General’s Departments Finance Government Legal Department 40 40 42530 35010
In post 2025 London Attorney General’s Departments Finance Serious Fraud Office 15 15 47160 41440
In post 2025 London Attorney General’s Departments Legal Attorney General’s Office 50 50 55930 57310
In post 2025 London Attorney General’s Departments Legal Crown Prosecution Service 1605 1520 50160 44570
In post 2025 London Attorney General’s Departments Legal Government Legal Department 2455 2290 63640 65250
In post 2025 London Attorney General’s Departments Legal HM Crown Prosecution Service Inspectorate 10 10 60850 63020
In post 2025 London Attorney General’s Departments Legal Serious Fraud Office 5 5 [c] [c]
In post 2025 London Attorney General’s Departments No function Serious Fraud Office 365 355 51550 45410
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 2025-07-18

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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".
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.
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).