Civil Service Statistics data browser (2022)

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

Status	Year	Sex	Function_of_post	Region_london	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2022	Female	Analysis	London	Asian	215	205	45430	40930
In post	2022	Female	Analysis	London	Black	95	90	39420	37930
In post	2022	Female	Analysis	London	Mixed	65	60	48290	48410
In post	2022	Female	Analysis	London	Other ethnicity	15	15	[c]	[c]
In post	2022	Female	Analysis	London	Undeclared	25	20	[c]	[c]
In post	2022	Female	Analysis	London	Unknown	190	185	46500	43650
In post	2022	Female	Analysis	London	White	1080	1015	50950	51710
In post	2022	Female	Analysis	Outside London	Asian	100	95	36600	33370
In post	2022	Female	Analysis	Outside London	Black	25	25	[c]	[c]
In post	2022	Female	Analysis	Outside London	Mixed	40	40	37500	34000
In post	2022	Female	Analysis	Outside London	Other ethnicity	5	5	[c]	[c]
In post	2022	Female	Analysis	Outside London	Undeclared	45	45	39800	38070
In post	2022	Female	Analysis	Outside London	Unknown	190	180	35700	33220
In post	2022	Female	Analysis	Outside London	White	1870	1740	38040	36580
In post	2022	Female	Analysis	Overseas	Asian	[c]	[c]	[c]	[c]
In post	2022	Female	Analysis	Overseas	Black	[c]	[c]	[c]	[c]
In post	2022	Female	Analysis	Overseas	Mixed	[c]	[c]	[c]	[c]
In post	2022	Female	Analysis	Overseas	Other ethnicity	[c]	[c]	[c]	[c]
In post	2022	Female	Analysis	Overseas	Undeclared	[c]	[c]	[c]	[c]
In post	2022	Female	Analysis	Overseas	Unknown	[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 2023-02-15, with GIT 71a76ea.

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.
	Five 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, Defence Electronics and Components Agency, 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.
	Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year	Year of data collection (as at 31 March).
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.
	Home Office, 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.
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).