Civil Service Statistics data browser (2021)

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

Status	Year	Sex	Disability	Ethnicity	Sexual_orientation	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Female	Declared disabled	Asian	Heterosexual / straight	1310	1170	31770	29080
In post	2021	Female	Declared disabled	Asian	LGBO	50	45	31600	28090
In post	2021	Female	Declared disabled	Asian	Undeclared	115	105	29160	27570
In post	2021	Female	Declared disabled	Asian	Unknown	110	90	28000	27570
In post	2021	Female	Declared disabled	Black	Heterosexual / straight	1120	1050	32090	30330
In post	2021	Female	Declared disabled	Black	LGBO	50	50	32570	29880
In post	2021	Female	Declared disabled	Black	Undeclared	85	80	30520	29970
In post	2021	Female	Declared disabled	Black	Unknown	75	65	30030	30330
In post	2021	Female	Declared disabled	Chinese	Heterosexual / straight	40	35	30690	29020
In post	2021	Female	Declared disabled	Chinese	LGBO	[c]	[c]	[c]	[c]
In post	2021	Female	Declared disabled	Chinese	Undeclared	5	5	[c]	[c]
In post	2021	Female	Declared disabled	Chinese	Unknown	[c]	[c]	[c]	[c]
In post	2021	Female	Declared disabled	Mixed	Heterosexual / straight	525	480	32790	28400
In post	2021	Female	Declared disabled	Mixed	LGBO	90	85	31620	27760
In post	2021	Female	Declared disabled	Mixed	Undeclared	70	65	31870	28130
In post	2021	Female	Declared disabled	Mixed	Unknown	45	40	32410	30110
In post	2021	Female	Declared disabled	Other ethnicity	Heterosexual / straight	140	130	33880	31060
In post	2021	Female	Declared disabled	Other ethnicity	LGBO	15	15	[c]	[c]
In post	2021	Female	Declared disabled	Other ethnicity	Undeclared	20	20	[c]	[c]
In post	2021	Female	Declared disabled	Other ethnicity	Unknown	10	10	[c]	[c]

Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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 2023-02-17, 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).
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.
	For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ from 2022 onwards.
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).