Civil Service Statistics data browser (2024)

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

Status Year Region_london Sex Function_of_post Parent_department Headcount FTE Mean_salary Median_salary
In post 2024 London Female Analysis Attorney General’s Departments [c] [c] [c] [c]
In post 2024 London Female Analysis Cabinet Office 35 35 35530 31970
In post 2024 London Female Analysis Chancellor’s other departments 70 65 73870 71440
In post 2024 London Female Analysis Charity Commission [c] [c] [c] [c]
In post 2024 London Female Analysis Competition and Markets Authority 55 50 68050 62600
In post 2024 London Female Analysis Department for Business and Trade 140 140 50870 44900
In post 2024 London Female Analysis Department for Culture, Media and Sport 35 30 53660 49740
In post 2024 London Female Analysis Department for Education 135 125 51190 48700
In post 2024 London Female Analysis Department for Levelling Up, Housing and Communities 90 85 51810 57090
In post 2024 London Female Analysis Department for Science, Innovation and Technology 35 35 56370 57990
In post 2024 London Female Analysis Department for Transport 110 105 57320 58630
In post 2024 London Female Analysis Department for Work and Pensions 105 95 49440 46270
In post 2024 London Female Analysis Department of Health and Social Care 150 140 52490 57110
In post 2024 London Female Analysis Food Standards Agency 5 5 [c] [c]
In post 2024 London Female Analysis Foreign, Commonwealth and Development Office 25 25 [c] [c]
In post 2024 London Female Analysis HM Land Registry 5 5 [c] [c]
In post 2024 London Female Analysis HM Revenue and Customs 175 165 54570 48020
In post 2024 London Female Analysis HM Treasury 90 90 48590 42780
In post 2024 London Female Analysis Home Office 230 225 48970 46870
In post 2024 London Female Analysis Ministry of Defence 55 55 50440 48200
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 2024-07-25

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.
On 8 July 2024, the Department for Levelling Up, Housing and Communities changed its name to the Ministry for Housing, Communities and Local Government.
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).