Civil Service Statistics data browser (2023)

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

Status	Year	Disability	Sex	Parent_department	Sexual_orientation	Headcount	FTE	Mean_salary	Median_salary
In post	2023	Declared disabled	Female	Attorney General’s Departments	Heterosexual / straight	635	580	43480	38860
In post	2023	Declared disabled	Female	Attorney General’s Departments	LGBO	65	60	41320	31920
In post	2023	Declared disabled	Female	Attorney General’s Departments	Undeclared	45	40	47410	49050
In post	2023	Declared disabled	Female	Attorney General’s Departments	Unknown	70	60	41810	33810
In post	2023	Declared disabled	Female	Cabinet Office	Heterosexual / straight	485	465	44520	39350
In post	2023	Declared disabled	Female	Cabinet Office	LGBO	85	80	42210	38460
In post	2023	Declared disabled	Female	Cabinet Office	Undeclared	65	60	45440	40580
In post	2023	Declared disabled	Female	Cabinet Office	Unknown	170	170	34060	30130
In post	2023	Declared disabled	Female	Chancellor’s other departments	Heterosexual / straight	10	10	[c]	[c]
In post	2023	Declared disabled	Female	Chancellor’s other departments	LGBO	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Chancellor’s other departments	Undeclared	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Chancellor’s other departments	Unknown	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Charity Commission	Heterosexual / straight	15	15	[c]	[c]
In post	2023	Declared disabled	Female	Charity Commission	LGBO	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Charity Commission	Undeclared	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Charity Commission	Unknown	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Competition and Markets Authority	Heterosexual / straight	20	20	[c]	[c]
In post	2023	Declared disabled	Female	Competition and Markets Authority	LGBO	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Competition and Markets Authority	Undeclared	[c]	[c]	[c]	[c]
In post	2023	Declared disabled	Female	Competition and Markets Authority	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 2023-07-26, 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.
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).