Civil Service Statistics data browser (2021)

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

Status Year Function_of_post Sex Region_london Disability Headcount FTE Mean_salary Median_salary
In post 2021 Analysis Female London Declared disabled 100 95 48620 43500
In post 2021 Analysis Female London Declared non-disabled 970 925 49250 45730
In post 2021 Analysis Female London Undeclared 85 85 44340 42470
In post 2021 Analysis Female London Unknown 325 310 47080 41760
In post 2021 Analysis Female Outside London Declared disabled 195 180 36430 36030
In post 2021 Analysis Female Outside London Declared non-disabled 1075 990 37910 36580
In post 2021 Analysis Female Outside London Undeclared 55 50 37380 37320
In post 2021 Analysis Female Outside London Unknown 445 420 34280 31020
In post 2021 Analysis Female Overseas Declared disabled [c] [c] [c] [c]
In post 2021 Analysis Female Overseas Declared non-disabled [c] [c] [c] [c]
In post 2021 Analysis Female Overseas Undeclared [c] [c] [c] [c]
In post 2021 Analysis Female Overseas Unknown [c] [c] [c] [c]
In post 2021 Analysis Female Unknown Declared disabled [c] [c] [c] [c]
In post 2021 Analysis Female Unknown Declared non-disabled [c] [c] [c] [c]
In post 2021 Analysis Female Unknown Undeclared [c] [c] [c] [c]
In post 2021 Analysis Female Unknown Unknown [c] [c] [c] [c]
In post 2021 Analysis Male London Declared disabled 130 125 46170 42040
In post 2021 Analysis Male London Declared non-disabled 1280 1265 50730 46810
In post 2021 Analysis Male London Undeclared 140 135 46340 42680
In post 2021 Analysis Male London Unknown 405 400 47020 42020
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 2023-02-17, 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).
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.
The Department for Work and Pensions provided aggregated functions data for 2021, which are available in the Civil Service Statistics publication. However, figures in this browser are derived from individual level data and so are not available for this department in 2021.
Home Office, 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.
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).