Civil Service Statistics data browser (2026)

Data preview: All civil servants / Function_of_post / Region_london / Parent_department / Disability

Status	Year	Function_of_post	Region_london	Parent_department	Disability	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Analysis	London	Attorney General’s Departments	Declared disabled	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Attorney General’s Departments	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Attorney General’s Departments	Unknown	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Cabinet Office	Declared disabled	30	30	40670	35000
In post	2026	Analysis	London	Cabinet Office	Declared non-disabled	115	115	56380	63350
In post	2026	Analysis	London	Cabinet Office	Undeclared	10	10	[c]	[c]
In post	2026	Analysis	London	Cabinet Office	Unknown	275	275	38720	35000
In post	2026	Analysis	London	Chancellor’s other departments	Declared disabled	15	10	[c]	[c]
In post	2026	Analysis	London	Chancellor’s other departments	Declared non-disabled	150	140	79630	76850
In post	2026	Analysis	London	Chancellor’s other departments	Undeclared	10	10	[c]	[c]
In post	2026	Analysis	London	Chancellor’s other departments	Unknown	15	15	[c]	[c]
In post	2026	Analysis	London	Charity Commission	Declared disabled	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Charity Commission	Declared non-disabled	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Charity Commission	Unknown	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Competition and Markets Authority	Declared disabled	10	10	[c]	[c]
In post	2026	Analysis	London	Competition and Markets Authority	Declared non-disabled	95	90	72600	69110
In post	2026	Analysis	London	Competition and Markets Authority	Undeclared	[c]	[c]	[c]	[c]
In post	2026	Analysis	London	Competition and Markets Authority	Unknown	10	10	[c]	[c]
In post	2026	Analysis	London	Department for Business and Trade	Declared disabled	35	30	58020	55590
In post	2026	Analysis	London	Department for Business and Trade	Declared non-disabled	255	250	64210	67040
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.
Region_london	Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
	Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
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.
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).