Civil Service Statistics data browser (2021)

Data preview: All civil servants / Sex / Disability / Sexual_orientation / Region_london

Status	Year	Sex	Disability	Sexual_orientation	Region_london	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Female	Declared disabled	Heterosexual / straight	London	4025	3770	39650	34100
In post	2021	Female	Declared disabled	Heterosexual / straight	Outside London	18545	16340	28880	27570
In post	2021	Female	Declared disabled	Heterosexual / straight	Overseas	60	60	47690	51500
In post	2021	Female	Declared disabled	Heterosexual / straight	Unknown	90	85	31270	27570
In post	2021	Female	Declared disabled	LGBO	London	470	455	39970	34740
In post	2021	Female	Declared disabled	LGBO	Outside London	1565	1480	28910	27570
In post	2021	Female	Declared disabled	LGBO	Overseas	5	5	[c]	[c]
In post	2021	Female	Declared disabled	LGBO	Unknown	5	5	[c]	[c]
In post	2021	Female	Declared disabled	Undeclared	London	550	510	38170	32330
In post	2021	Female	Declared disabled	Undeclared	Outside London	2475	2125	28060	26780
In post	2021	Female	Declared disabled	Undeclared	Overseas	10	10	[c]	[c]
In post	2021	Female	Declared disabled	Undeclared	Unknown	10	10	[c]	[c]
In post	2021	Female	Declared disabled	Unknown	London	345	305	37710	31880
In post	2021	Female	Declared disabled	Unknown	Outside London	1915	1590	27550	26120
In post	2021	Female	Declared disabled	Unknown	Overseas	5	5	[c]	[c]
In post	2021	Female	Declared disabled	Unknown	Unknown	10	10	[c]	[c]
In post	2021	Female	Declared non-disabled	Heterosexual / straight	London	29320	27700	42680	36650
In post	2021	Female	Declared non-disabled	Heterosexual / straight	Outside London	106980	96220	30310	27570
In post	2021	Female	Declared non-disabled	Heterosexual / straight	Overseas	795	785	49310	50430
In post	2021	Female	Declared non-disabled	Heterosexual / straight	Unknown	440	405	32670	27570

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 2023-02-16, 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.
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”.
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.
Sexual_orientation	Self reported sexual orientation.
	“Undeclared” accounts for employees who have actively declared that they do not want to disclose their sexual orientation and “Unknown” accounts for employees who have not made an active declaration about their sexual orientation.
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).