Civil Service Statistics data browser (2021)

Data preview: All civil servants / Parent_department / Sexual_orientation / Ethnicity

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Disability, Age

Status	Year	Parent_department	Sexual_orientation	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2021	Attorney General’s Departments	Heterosexual / straight	Asian	750	700	42240	40800
In post	2021	Attorney General’s Departments	Heterosexual / straight	Black	445	430	39900	31710
In post	2021	Attorney General’s Departments	Heterosexual / straight	Chinese	35	30	43600	42090
In post	2021	Attorney General’s Departments	Heterosexual / straight	Mixed	220	210	46000	50520
In post	2021	Attorney General’s Departments	Heterosexual / straight	Other ethnicity	70	65	46490	49580
In post	2021	Attorney General’s Departments	Heterosexual / straight	Undeclared	45	40	42720	39970
In post	2021	Attorney General’s Departments	Heterosexual / straight	Unknown	155	150	40540	33770
In post	2021	Attorney General’s Departments	Heterosexual / straight	White	5045	4720	44900	48080
In post	2021	Attorney General’s Departments	LGBO	Asian	20	20	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	Black	15	15	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	Chinese	[c]	[c]	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	Mixed	15	15	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	Other ethnicity	5	5	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	Undeclared	[c]	[c]	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	Unknown	15	15	[c]	[c]
In post	2021	Attorney General’s Departments	LGBO	White	355	345	45750	48080
In post	2021	Attorney General’s Departments	Undeclared	Asian	15	15	[c]	[c]
In post	2021	Attorney General’s Departments	Undeclared	Black	15	15	[c]	[c]
In post	2021	Attorney General’s Departments	Undeclared	Chinese	[c]	[c]	[c]	[c]
In post	2021	Attorney General’s Departments	Undeclared	Mixed	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 2023-02-14, 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).
Parent_department	Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).