Civil Service Statistics data browser (2021)

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

Status Year Sex Parent_department Organisation Region_london Headcount FTE Mean_salary Median_salary
In post 2021 Female Attorney General’s Departments Attorney General’s Office London 30 25 [c] [c]
In post 2021 Female Attorney General’s Departments Crown Prosecution Service London 1100 1015 43330 39750
In post 2021 Female Attorney General’s Departments Crown Prosecution Service Outside London 3380 3040 38490 32370
In post 2021 Female Attorney General’s Departments Crown Prosecution Service Overseas [c] [c] [c] [c]
In post 2021 Female Attorney General’s Departments Crown Prosecution Service Inspectorate London 10 10 [c] [c]
In post 2021 Female Attorney General’s Departments Crown Prosecution Service Inspectorate Outside London [c] [c] [c] [c]
In post 2021 Female Attorney General’s Departments Government Legal Department London 1580 1435 54330 52010
In post 2021 Female Attorney General’s Departments Government Legal Department Outside London 55 50 54590 53850
In post 2021 Female Attorney General’s Departments Serious Fraud Office London 215 210 45630 40170
In post 2021 Female Cabinet Office Cabinet Office (excl. agencies) London 3450 3375 47090 40600
In post 2021 Female Cabinet Office Cabinet Office (excl. agencies) Outside London 1265 1200 39090 33000
In post 2021 Female Cabinet Office Cabinet Office (excl. agencies) Overseas [c] [c] [c] [c]
In post 2021 Female Cabinet Office Cabinet Office (excl. agencies) Unknown 325 320 36050 32000
In post 2021 Female Chancellor’s other departments Government Actuary’s Department London 75 70 60350 60780
In post 2021 Female Chancellor’s other departments Government Actuary’s Department Outside London [c] [c] [c] [c]
In post 2021 Female Chancellor’s other departments National Savings and Investments London 80 80 47740 44370
In post 2021 Female Chancellor’s other departments National Savings and Investments Outside London 20 20 [c] [c]
In post 2021 Female Charity Commission Charity Commission London 50 45 41680 37910
In post 2021 Female Charity Commission Charity Commission Outside London 205 185 32600 29160
In post 2021 Female Competition and Markets Authority Competition and Markets Authority London 400 380 58800 56000
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 2023-02-18, with GIT 71a76ea.

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, Defence Electronics and Components Agency, 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).