Civil Service Statistics data browser (2026)

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

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

Status	Year	Function_of_post	Ethnicity	Disability	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Analysis	Asian	Declared disabled	100	100	47940	45700
In post	2026	Analysis	Asian	Declared non-disabled	955	930	48520	44640
In post	2026	Analysis	Asian	Undeclared	55	55	53290	50330
In post	2026	Analysis	Asian	Unknown	270	270	45520	43330
In post	2026	Analysis	Black	Declared disabled	55	50	47620	43290
In post	2026	Analysis	Black	Declared non-disabled	330	330	44720	42670
In post	2026	Analysis	Black	Undeclared	15	15	[c]	[c]
In post	2026	Analysis	Black	Unknown	85	85	44520	42710
In post	2026	Analysis	Mixed	Declared disabled	65	65	52920	50490
In post	2026	Analysis	Mixed	Declared non-disabled	270	260	52800	50040
In post	2026	Analysis	Mixed	Undeclared	15	15	[c]	[c]
In post	2026	Analysis	Mixed	Unknown	70	70	48370	44520
In post	2026	Analysis	Other ethnicity	Declared disabled	10	10	[c]	[c]
In post	2026	Analysis	Other ethnicity	Declared non-disabled	70	65	53790	52000
In post	2026	Analysis	Other ethnicity	Undeclared	10	10	[c]	[c]
In post	2026	Analysis	Other ethnicity	Unknown	10	10	[c]	[c]
In post	2026	Analysis	Undeclared	Declared disabled	70	65	52050	48710
In post	2026	Analysis	Undeclared	Declared non-disabled	180	170	53850	52470
In post	2026	Analysis	Undeclared	Undeclared	190	180	50980	47630
In post	2026	Analysis	Undeclared	Unknown	85	85	51510	50380
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).
Function_of_post	Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
	Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
	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).