Civil Service Statistics data browser (2023)

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

Status Year Parent_department Sex Profession_of_post Organisation Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments Female Commercial Crown Prosecution Service 20 20 [c] [c]
In post 2023 Attorney General’s Departments Female Commercial Serious Fraud Office [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Communications Attorney General’s Office [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Communications Crown Prosecution Service 45 40 42480 40540
In post 2023 Attorney General’s Departments Female Communications Government Legal Department 5 5 [c] [c]
In post 2023 Attorney General’s Departments Female Communications Serious Fraud Office 5 5 [c] [c]
In post 2023 Attorney General’s Departments Female Corporate Finance Attorney General’s Office [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Corporate Finance Serious Fraud Office 5 5 [c] [c]
In post 2023 Attorney General’s Departments Female Counter Fraud Serious Fraud Office 95 95 43360 38480
In post 2023 Attorney General’s Departments Female Digital, Data and Technology Attorney General’s Office [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Digital, Data and Technology Crown Prosecution Service 60 55 41950 38940
In post 2023 Attorney General’s Departments Female Digital, Data and Technology Government Legal Department [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Digital, Data and Technology Serious Fraud Office 15 15 [c] [c]
In post 2023 Attorney General’s Departments Female Finance Crown Prosecution Service 100 90 29180 26900
In post 2023 Attorney General’s Departments Female Finance Government Legal Department 25 20 [c] [c]
In post 2023 Attorney General’s Departments Female Finance Serious Fraud Office [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Human Resources Crown Prosecution Service 130 125 39570 32980
In post 2023 Attorney General’s Departments Female Human Resources Government Legal Department 50 50 40400 36050
In post 2023 Attorney General’s Departments Female Human Resources Serious Fraud Office 10 10 [c] [c]
In post 2023 Attorney General’s Departments Female Intelligence Analysis Serious Fraud Office 5 5 [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 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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
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).