Civil Service Statistics data browser (2023)

Data preview: All civil servants / Function_of_post / Responsibility_level_ungrouped / Region_london / Sex

Status Year Function_of_post Responsibility_level_ungrouped Region_london Sex Headcount FTE Mean_salary Median_salary
In post 2023 Analysis AA London Female 15 15 [c] [c]
In post 2023 Analysis AA London Male 10 10 [c] [c]
In post 2023 Analysis AA Outside London Female [c] [c] [c] [c]
In post 2023 Analysis AA Outside London Male [c] [c] [c] [c]
In post 2023 Analysis AO London Female 30 30 [c] [c]
In post 2023 Analysis AO London Male 25 25 [c] [c]
In post 2023 Analysis AO Outside London Female 80 75 22040 22150
In post 2023 Analysis AO Outside London Male 75 75 22470 22210
In post 2023 Analysis EO London Female 185 180 29580 29660
In post 2023 Analysis EO London Male 170 165 30030 29890
In post 2023 Analysis EO Outside London Female 270 250 26390 25970
In post 2023 Analysis EO Outside London Male 280 275 26580 25970
In post 2023 Analysis EO Outside London Unknown [c] [c] [c] [c]
In post 2023 Analysis EO Unknown Female [c] [c] [c] [c]
In post 2023 Analysis EO Unknown Male [c] [c] [c] [c]
In post 2023 Analysis G6 London Female 230 210 73750 70500
In post 2023 Analysis G6 London Male 290 285 77010 72870
In post 2023 Analysis G6 Outside London Female 110 100 67530 66770
In post 2023 Analysis G6 Outside London Male 180 180 69040 69200
In post 2023 Analysis G7 London Female 540 510 58810 58370
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 2023-07-29, 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).
Responsibility_level_ungrouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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".
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions 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).