Civil Service Statistics data browser (2026)

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

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

Status	Year	Parent_department	Disability	Sexual_orientation	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Attorney General’s Departments	Declared disabled	Heterosexual / straight	1130	1035	51720	55980
In post	2026	Attorney General’s Departments	Declared disabled	LGBO	145	140	53520	55980
In post	2026	Attorney General’s Departments	Declared disabled	Undeclared	95	90	52590	55980
In post	2026	Attorney General’s Departments	Declared disabled	Unknown	150	130	48100	44520
In post	2026	Attorney General’s Departments	Declared non-disabled	Heterosexual / straight	4740	4400	56120	60460
In post	2026	Attorney General’s Departments	Declared non-disabled	LGBO	310	300	58050	62570
In post	2026	Attorney General’s Departments	Declared non-disabled	Undeclared	180	170	59140	63190
In post	2026	Attorney General’s Departments	Declared non-disabled	Unknown	780	685	55290	61750
In post	2026	Attorney General’s Departments	Undeclared	Heterosexual / straight	95	85	56190	62070
In post	2026	Attorney General’s Departments	Undeclared	LGBO	10	10	[c]	[c]
In post	2026	Attorney General’s Departments	Undeclared	Undeclared	40	40	59410	62160
In post	2026	Attorney General’s Departments	Undeclared	Unknown	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Unknown	Heterosexual / straight	1515	1465	46930	44520
In post	2026	Attorney General’s Departments	Unknown	LGBO	130	125	41330	34280
In post	2026	Attorney General’s Departments	Unknown	Undeclared	110	105	48470	44520
In post	2026	Attorney General’s Departments	Unknown	Unknown	2970	2880	47700	44510
In post	2026	Cabinet Office	Declared disabled	Heterosexual / straight	765	740	55240	48750
In post	2026	Cabinet Office	Declared disabled	LGBO	160	160	51960	47950
In post	2026	Cabinet Office	Declared disabled	Undeclared	80	75	54180	51390
In post	2026	Cabinet Office	Declared disabled	Unknown	320	320	41010	35000
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 2026-07-16

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.
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.
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.
	The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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.
	The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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).