Civil Service Statistics data browser (2023)

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

Status Year Age Ethnicity Parent_department Function_of_post Headcount FTE Mean_salary Median_salary
In post 2023 16-19 Asian Attorney General’s Departments Digital, Data & Technology [c] [c] [c] [c]
In post 2023 16-19 Asian Attorney General’s Departments Finance [c] [c] [c] [c]
In post 2023 16-19 Asian Attorney General’s Departments Legal 10 10 [c] [c]
In post 2023 16-19 Asian Cabinet Office Digital, Data & Technology [c] [c] [c] [c]
In post 2023 16-19 Asian Cabinet Office Human Resources [c] [c] [c] [c]
In post 2023 16-19 Asian Cabinet Office Security [c] [c] [c] [c]
In post 2023 16-19 Asian Chancellor’s other departments Communications [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy Analysis [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy Digital, Data & Technology [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy Human Resources [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy No function [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy Project Delivery [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy Property [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Business, Energy and Industrial Strategy Unknown [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Digital, Culture, Media and Sport Analysis [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Digital, Culture, Media and Sport No function [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Digital, Culture, Media and Sport Project Delivery [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Education Finance [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Education No function [c] [c] [c] [c]
In post 2023 16-19 Asian Department for Education Project Delivery [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.
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).