Civil Service Statistics data browser (2023)

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

Status	Year	Disability	Sex	Function_of_post	Parent_department	Headcount	FTE	Mean_salary	Median_salary
In post	2023	Declared disabled	Female	Analysis	Attorney General’s Departments	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Cabinet Office	15	15	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Chancellor’s other departments	10	5	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Charity Commission	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Competition and Markets Authority	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for Business, Energy and Industrial Strategy	10	10	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for Digital, Culture, Media and Sport	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for Education	35	30	44770	43860
In post	2023	Declared disabled	Female	Analysis	Department for Environment, Food and Rural Affairs	25	20	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for International Trade	5	5	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for Levelling Up, Housing and Communities	10	10	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for Transport	15	10	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Department for Work and Pensions	45	40	44610	39780
In post	2023	Declared disabled	Female	Analysis	Department of Health and Social Care	10	10	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Estyn	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Food Standards Agency	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	Foreign, Commonwealth and Development Office	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	HM Land Registry	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Analysis	HM Revenue and Customs	45	40	46080	41780
In post	2023	Declared disabled	Female	Analysis	HM Treasury	10	10	[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.
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.
Disability	Self reported disability.
	"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).