Civil Service Statistics data browser (2021)

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

Status Year Parent_department Region_london Disability Sex Headcount FTE Mean_salary Median_salary
In post 2021 Attorney General’s Departments London Declared disabled Female 235 215 49680 51250
In post 2021 Attorney General’s Departments London Declared disabled Male 150 140 49620 51250
In post 2021 Attorney General’s Departments London Declared disabled Unknown [c] [c] [c] [c]
In post 2021 Attorney General’s Departments London Declared non-disabled Female 2045 1875 49820 51250
In post 2021 Attorney General’s Departments London Declared non-disabled Male 1240 1215 51140 51250
In post 2021 Attorney General’s Departments London Declared non-disabled Unknown [c] [c] [c] [c]
In post 2021 Attorney General’s Departments London Undeclared Female 85 75 54690 52730
In post 2021 Attorney General’s Departments London Undeclared Male 50 45 56950 65450
In post 2021 Attorney General’s Departments London Unknown Female 570 535 47510 50520
In post 2021 Attorney General’s Departments London Unknown Male 315 305 49210 51250
In post 2021 Attorney General’s Departments Outside London Declared disabled Female 375 335 39770 34160
In post 2021 Attorney General’s Departments Outside London Declared disabled Male 180 175 42830 44660
In post 2021 Attorney General’s Departments Outside London Declared disabled Unknown [c] [c] [c] [c]
In post 2021 Attorney General’s Departments Outside London Declared non-disabled Female 2300 2045 39770 33310
In post 2021 Attorney General’s Departments Outside London Declared non-disabled Male 1170 1135 45780 49580
In post 2021 Attorney General’s Departments Outside London Declared non-disabled Unknown [c] [c] [c] [c]
In post 2021 Attorney General’s Departments Outside London Undeclared Female [c] [c] [c] [c]
In post 2021 Attorney General’s Departments Outside London Undeclared Male 5 5 [c] [c]
In post 2021 Attorney General’s Departments Outside London Unknown Female 765 715 35280 28430
In post 2021 Attorney General’s Departments Outside London Unknown Male 350 345 40000 38760
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 2023-02-16, 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.
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.
Disability Self reported disability.
“Undeclared” accounts for employees who have actively declared that they do not want to disclose their disability status and “Unknown” accounts for employees who have not made an active declaration about their disability status.
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).