Civil Service Statistics data browser (2026)

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

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sexual_orientation, Age

Status	Year	Ethnicity	Sex	Disability	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Asian	Female	Declared disabled	3135	2805	39060	35620
In post	2026	Asian	Female	Declared non-disabled	18170	16610	39840	35560
In post	2026	Asian	Female	Undeclared	1125	1030	42190	36610
In post	2026	Asian	Female	Unknown	2745	2605	42740	38000
In post	2026	Asian	Male	Declared disabled	2285	2195	39820	35840
In post	2026	Asian	Male	Declared non-disabled	15670	15275	40950	36960
In post	2026	Asian	Male	Undeclared	960	935	42080	37020
In post	2026	Asian	Male	Unknown	2225	2195	43530	38890
In post	2026	Asian	Unknown	Declared disabled	[c]	[c]	[c]	[c]
In post	2026	Asian	Unknown	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2026	Asian	Unknown	Undeclared	[c]	[c]	[c]	[c]
In post	2026	Asian	Unknown	Unknown	[c]	[c]	[c]	[c]
In post	2026	Black	Female	Declared disabled	2320	2130	39520	37020
In post	2026	Black	Female	Declared non-disabled	10930	10395	38850	35620
In post	2026	Black	Female	Undeclared	580	540	39370	37020
In post	2026	Black	Female	Unknown	1305	1260	41410	37680
In post	2026	Black	Male	Declared disabled	835	800	40010	37020
In post	2026	Black	Male	Declared non-disabled	9365	9210	38990	36820
In post	2026	Black	Male	Undeclared	380	365	41940	37750
In post	2026	Black	Male	Unknown	940	930	41450	37920
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).
Sex	Self reported sex.
	"Unknown" accounts for employees who were recorded with an unknown sex.
	Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
	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.
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.
	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.
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.
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).