Civil Service Statistics data browser (2023)

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

Status Year Sex Parent_department Organisation Ethnicity Headcount FTE Mean_salary Median_salary
In post 2023 Female Attorney General’s Departments Attorney General’s Office Asian [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Attorney General’s Office Black [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Attorney General’s Office Mixed [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Attorney General’s Office Other ethnicity [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Attorney General’s Office Undeclared [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Attorney General’s Office Unknown 15 15 [c] [c]
In post 2023 Female Attorney General’s Departments Attorney General’s Office White 5 5 [c] [c]
In post 2023 Female Attorney General’s Departments Crown Prosecution Service Asian 595 545 39450 32660
In post 2023 Female Attorney General’s Departments Crown Prosecution Service Black 305 290 39810 30560
In post 2023 Female Attorney General’s Departments Crown Prosecution Service Mixed 155 140 40140 32980
In post 2023 Female Attorney General’s Departments Crown Prosecution Service Other ethnicity 40 35 38590 35550
In post 2023 Female Attorney General’s Departments Crown Prosecution Service Undeclared 80 75 39380 33250
In post 2023 Female Attorney General’s Departments Crown Prosecution Service Unknown 370 335 42220 35000
In post 2023 Female Attorney General’s Departments Crown Prosecution Service White 3520 3230 40440 33300
In post 2023 Female Attorney General’s Departments Government Legal Department Asian 230 210 50670 52020
In post 2023 Female Attorney General’s Departments Government Legal Department Black 140 135 43480 38860
In post 2023 Female Attorney General’s Departments Government Legal Department Mixed 60 60 57510 52790
In post 2023 Female Attorney General’s Departments Government Legal Department Other ethnicity 30 25 [c] [c]
In post 2023 Female Attorney General’s Departments Government Legal Department Undeclared 45 40 57870 61740
In post 2023 Female Attorney General’s Departments Government Legal Department Unknown 235 215 58130 60940
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 2023-07-26, 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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).