Civil Service Statistics data browser (2023)

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

Status Year Sex Parent_department Profession_of_post Region_london Headcount FTE Mean_salary Median_salary
In post 2023 Female Attorney General’s Departments Commercial London 5 5 [c] [c]
In post 2023 Female Attorney General’s Departments Commercial Outside London 15 15 [c] [c]
In post 2023 Female Attorney General’s Departments Communications London 40 35 45040 40540
In post 2023 Female Attorney General’s Departments Communications Outside London 20 20 [c] [c]
In post 2023 Female Attorney General’s Departments Corporate Finance London 5 5 [c] [c]
In post 2023 Female Attorney General’s Departments Counter Fraud London 95 95 43360 38480
In post 2023 Female Attorney General’s Departments Digital, Data and Technology London 30 30 [c] [c]
In post 2023 Female Attorney General’s Departments Digital, Data and Technology Outside London 45 45 40310 35000
In post 2023 Female Attorney General’s Departments Finance London 50 45 36920 31100
In post 2023 Female Attorney General’s Departments Finance Outside London 80 70 28270 26900
In post 2023 Female Attorney General’s Departments Human Resources London 100 100 41910 35860
In post 2023 Female Attorney General’s Departments Human Resources Outside London 90 85 36850 32390
In post 2023 Female Attorney General’s Departments Intelligence Analysis London 5 5 [c] [c]
In post 2023 Female Attorney General’s Departments Internal Audit London [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Internal Audit Outside London [c] [c] [c] [c]
In post 2023 Female Attorney General’s Departments Knowledge and Information Management London 30 30 45530 40940
In post 2023 Female Attorney General’s Departments Knowledge and Information Management Outside London 20 20 [c] [c]
In post 2023 Female Attorney General’s Departments Legal London 1875 1715 60110 61100
In post 2023 Female Attorney General’s Departments Legal Outside London 1745 1575 53690 54100
In post 2023 Female Attorney General’s Departments Legal Overseas [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).
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".
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).