Civil Service Statistics data browser (2023)

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

Status Year Function_of_post Region_london Ethnicity Parent_department Headcount FTE Mean_salary Median_salary
In post 2023 Analysis London Asian Attorney General’s Departments [c] [c] [c] [c]
In post 2023 Analysis London Asian Cabinet Office 10 10 [c] [c]
In post 2023 Analysis London Asian Chancellor’s other departments 30 30 50530 46970
In post 2023 Analysis London Asian Charity Commission [c] [c] [c] [c]
In post 2023 Analysis London Asian Competition and Markets Authority 10 10 [c] [c]
In post 2023 Analysis London Asian Department for Business, Energy and Industrial Strategy 30 30 [c] [c]
In post 2023 Analysis London Asian Department for Digital, Culture, Media and Sport 10 10 [c] [c]
In post 2023 Analysis London Asian Department for Education 25 25 [c] [c]
In post 2023 Analysis London Asian Department for International Trade 30 30 50050 55370
In post 2023 Analysis London Asian Department for Levelling Up, Housing and Communities 25 25 [c] [c]
In post 2023 Analysis London Asian Department for Transport 30 30 [c] [c]
In post 2023 Analysis London Asian Department for Work and Pensions 25 25 [c] [c]
In post 2023 Analysis London Asian Department of Health and Social Care 40 40 36720 33500
In post 2023 Analysis London Asian Food Standards Agency [c] [c] [c] [c]
In post 2023 Analysis London Asian Foreign, Commonwealth and Development Office 5 5 [c] [c]
In post 2023 Analysis London Asian HM Land Registry [c] [c] [c] [c]
In post 2023 Analysis London Asian HM Revenue and Customs 70 65 49920 45950
In post 2023 Analysis London Asian HM Treasury 35 30 41070 36120
In post 2023 Analysis London Asian Home Office 40 40 44790 43170
In post 2023 Analysis London Asian Ministry of Defence 15 15 [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 2023-07-27, 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".
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.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).