Civil Service Statistics data browser (2023)

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 2023 Female Attorney General’s Departments London Attorney General’s Office 30 25 [c] [c]
In post 2023 Female Attorney General’s Departments London Crown Prosecution Service 1240 1160 44390 40540
In post 2023 Female Attorney General’s Departments London Government Legal Department 1615 1470 55740 53390
In post 2023 Female Attorney General’s Departments London HM Crown Prosecution Service Inspectorate 10 10 [c] [c]
In post 2023 Female Attorney General’s Departments London Serious Fraud Office 220 215 47660 41400
In post 2023 Female Attorney General’s Departments Outside London Crown Prosecution Service 3825 3495 39050 32210
In post 2023 Female Attorney General’s Departments Outside London Government Legal Department 165 145 54180 52310
In post 2023 Female Attorney General’s Departments Outside London HM Crown Prosecution Service Inspectorate 5 5 [c] [c]
In post 2023 Female Attorney General’s Departments Overseas Crown Prosecution Service [c] [c] [c] [c]
In post 2023 Female Cabinet Office London Cabinet Office (excl. agencies) 1865 1805 52300 56430
In post 2023 Female Cabinet Office London Central Civil Service Fast Stream 735 730 30770 30130
In post 2023 Female Cabinet Office London Crown Commercial Service 30 30 [c] [c]
In post 2023 Female Cabinet Office London Government Commercial Organisation 290 285 74590 67200
In post 2023 Female Cabinet Office London Government Property Agency 45 40 51380 55790
In post 2023 Female Cabinet Office Outside London Cabinet Office (excl. agencies) 1215 1145 37490 34020
In post 2023 Female Cabinet Office Outside London Central Civil Service Fast Stream 260 260 30470 30130
In post 2023 Female Cabinet Office Outside London Crown Commercial Service 390 370 39070 39860
In post 2023 Female Cabinet Office Outside London Government Commercial Organisation 405 395 68490 65910
In post 2023 Female Cabinet Office Outside London Government Property Agency 130 130 45080 40350
In post 2023 Female Cabinet Office Unknown Cabinet Office (excl. agencies) 80 80 46970 39760
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 2023-07-27, with GIT d545f65.

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.
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.
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).