Civil Service Statistics data browser (2026)

Data preview: All civil servants / Sexual_orientation / Function_of_post / Region_london

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Ethnicity, Disability, Age

Status	Year	Sexual_orientation	Function_of_post	Region_london	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Heterosexual / straight	Analysis	London	3865	3740	61240	62100
In post	2026	Heterosexual / straight	Analysis	Outside London	6075	5760	46500	43990
In post	2026	Heterosexual / straight	Analysis	Overseas	40	40	54890	58910
In post	2026	Heterosexual / straight	Analysis	Unknown	[c]	[c]	[c]	[c]
In post	2026	Heterosexual / straight	Commercial	London	1300	1275	68450	64820
In post	2026	Heterosexual / straight	Commercial	Outside London	3975	3810	51560	47120
In post	2026	Heterosexual / straight	Commercial	Overseas	25	25	[c]	[c]
In post	2026	Heterosexual / straight	Commercial	Unknown	[c]	[c]	[c]	[c]
In post	2026	Heterosexual / straight	Communications	London	1485	1450	57170	52800
In post	2026	Heterosexual / straight	Communications	Outside London	1975	1870	43950	40800
In post	2026	Heterosexual / straight	Communications	Overseas	20	20	[c]	[c]
In post	2026	Heterosexual / straight	Communications	Unknown	[c]	[c]	[c]	[c]
In post	2026	Heterosexual / straight	Counter Fraud	London	2125	1980	43080	37520
In post	2026	Heterosexual / straight	Counter Fraud	Outside London	9695	8960	37590	32470
In post	2026	Heterosexual / straight	Counter Fraud	Unknown	[c]	[c]	[c]	[c]
In post	2026	Heterosexual / straight	Debt	London	390	345	35370	31470
In post	2026	Heterosexual / straight	Debt	Outside London	4335	3880	30640	28020
In post	2026	Heterosexual / straight	Debt	Unknown	[c]	[c]	[c]	[c]
In post	2026	Heterosexual / straight	Digital and Data	London	4895	4800	59320	54580
In post	2026	Heterosexual / straight	Digital and Data	Outside London	16845	16310	50340	46420
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).
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.
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).