Civil Service Statistics data browser (2026)

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

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

Status	Year	Sex	Function_of_post	Disability	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Female	Analysis	Declared disabled	970	895	48780	45550
In post	2026	Female	Analysis	Declared non-disabled	4265	3990	51850	48020
In post	2026	Female	Analysis	Undeclared	305	285	49700	46250
In post	2026	Female	Analysis	Unknown	1480	1420	47260	44420
In post	2026	Female	Commercial	Declared disabled	580	550	51230	47540
In post	2026	Female	Commercial	Declared non-disabled	2430	2300	54370	48380
In post	2026	Female	Commercial	Undeclared	190	175	53340	48090
In post	2026	Female	Commercial	Unknown	940	910	50010	44450
In post	2026	Female	Communications	Declared disabled	410	385	45230	42710
In post	2026	Female	Communications	Declared non-disabled	1870	1760	49450	46240
In post	2026	Female	Communications	Undeclared	120	115	49990	44010
In post	2026	Female	Communications	Unknown	900	865	50200	46540
In post	2026	Female	Counter Fraud	Declared disabled	1655	1450	36420	32140
In post	2026	Female	Counter Fraud	Declared non-disabled	6035	5410	37630	35420
In post	2026	Female	Counter Fraud	Undeclared	400	360	38370	35620
In post	2026	Female	Counter Fraud	Unknown	990	925	38890	37680
In post	2026	Female	Debt	Declared disabled	635	535	30690	28020
In post	2026	Female	Debt	Declared non-disabled	2765	2375	30960	28020
In post	2026	Female	Debt	Undeclared	200	170	30870	28020
In post	2026	Female	Debt	Unknown	1395	1260	29590	28020
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.
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.
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).