Civil Service Statistics data browser (2024)

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

Status Year Region_london Parent_department Sex Organisation Headcount FTE Mean_salary Median_salary
In post 2024 London Attorney General’s Departments Female Attorney General’s Office 30 25 [c] [c]
In post 2024 London Attorney General’s Departments Female Crown Prosecution Service 1250 1165 46380 42360
In post 2024 London Attorney General’s Departments Female Government Legal Department 1730 1585 59170 60000
In post 2024 London Attorney General’s Departments Female HM Crown Prosecution Service Inspectorate 10 10 [c] [c]
In post 2024 London Attorney General’s Departments Female Serious Fraud Office 250 240 46970 41630
In post 2024 London Attorney General’s Departments Male Attorney General’s Office 25 25 [c] [c]
In post 2024 London Attorney General’s Departments Male Crown Prosecution Service 635 620 49670 42650
In post 2024 London Attorney General’s Departments Male Government Legal Department 850 830 59730 60000
In post 2024 London Attorney General’s Departments Male HM Crown Prosecution Service Inspectorate [c] [c] [c] [c]
In post 2024 London Attorney General’s Departments Male Serious Fraud Office 265 265 50430 43560
In post 2024 London Cabinet Office Female Cabinet Office (excl. agencies) 1865 1810 55990 58800
In post 2024 London Cabinet Office Female Central Civil Service Fast Stream 645 640 32860 31970
In post 2024 London Cabinet Office Female Crown Commercial Service 20 20 [c] [c]
In post 2024 London Cabinet Office Female Government Commercial Organisation 270 265 75100 69470
In post 2024 London Cabinet Office Female Government Property Agency 35 35 58480 58680
In post 2024 London Cabinet Office Male Cabinet Office (excl. agencies) 1725 1710 59860 58800
In post 2024 London Cabinet Office Male Central Civil Service Fast Stream 460 460 32530 31970
In post 2024 London Cabinet Office Male Crown Commercial Service 30 30 59890 60540
In post 2024 London Cabinet Office Male Government Commercial Organisation 305 305 82020 70570
In post 2024 London Cabinet Office Male Government Property Agency 55 55 56790 58680
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 2024-07-25

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.
Four 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, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
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.
On 8 July 2024, the Department for Levelling Up, Housing and Communities changed its name to the Ministry for Housing, Communities and Local Government.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
On 8 July 2024, the Department for Levelling Up, Housing and Communities changed its name to the Ministry for Housing, Communities and Local Government.
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.
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).