Civil Service Statistics data browser (2023)

Data preview: All civil servants / Responsibility_level_grouped / Sex / Profession_of_post / Region_london

Status Year Responsibility_level_grouped Sex Profession_of_post Region_london Headcount FTE Mean_salary Median_salary
In post 2023 AA/AO Female Commercial London 30 25 [c] [c]
In post 2023 AA/AO Female Commercial Outside London 200 180 23410 22390
In post 2023 AA/AO Female Commercial Unknown [c] [c] [c] [c]
In post 2023 AA/AO Female Communications London 15 15 [c] [c]
In post 2023 AA/AO Female Communications Outside London 85 80 22480 22220
In post 2023 AA/AO Female Corporate Finance Outside London [c] [c] [c] [c]
In post 2023 AA/AO Female Counter Fraud London 220 180 25310 25610
In post 2023 AA/AO Female Counter Fraud Outside London 825 680 22590 21690
In post 2023 AA/AO Female Digital, Data and Technology London 20 20 [c] [c]
In post 2023 AA/AO Female Digital, Data and Technology Outside London 190 175 23030 22330
In post 2023 AA/AO Female Economics London 10 10 [c] [c]
In post 2023 AA/AO Female Economics Outside London 15 15 [c] [c]
In post 2023 AA/AO Female Finance London 45 40 26140 25590
In post 2023 AA/AO Female Finance Outside London 615 540 22970 22500
In post 2023 AA/AO Female Finance Overseas [c] [c] [c] [c]
In post 2023 AA/AO Female Finance Unknown [c] [c] [c] [c]
In post 2023 AA/AO Female Geography Outside London 10 10 [c] [c]
In post 2023 AA/AO Female Human Resources London 50 45 26020 26400
In post 2023 AA/AO Female Human Resources Outside London 855 775 22570 22220
In post 2023 AA/AO Female Human Resources Unknown [c] [c] [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 2023-07-26, 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).
Responsibility_level_grouped 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_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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".
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).