Civil Service Statistics data browser (2026)

Data preview: All civil servants / Organisation / Function_of_post / Responsibility_level_ungrouped / Region_london

Status	Year	Organisation	Function_of_post	Responsibility_level_ungrouped	Region_london	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Accountant in Bankruptcy	Unknown	AA	Outside London	25	20	29260	29260
In post	2026	Accountant in Bankruptcy	Unknown	EO	Outside London	35	30	36470	36610
In post	2026	Accountant in Bankruptcy	Unknown	G6	Outside London	[c]	[c]	[c]	[c]
In post	2026	Accountant in Bankruptcy	Unknown	G7	Outside London	[c]	[c]	[c]	[c]
In post	2026	Accountant in Bankruptcy	Unknown	HEO	Outside London	25	25	43140	43930
In post	2026	Accountant in Bankruptcy	Unknown	SCS level	Outside London	[c]	[c]	[c]	[c]
In post	2026	Accountant in Bankruptcy	Unknown	SEO	Outside London	10	10	53100	54300
In post	2026	Active Travel England	Analysis	G6	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Analysis	G7	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Analysis	SEO	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Communications	G6	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Communications	G7	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Communications	HEO	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Communications	SEO	London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Communications	SEO	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Digital and Data	G6	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Digital and Data	G7	Outside London	5	5	[c]	[c]
In post	2026	Active Travel England	Digital and Data	SCS level	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Digital and Data	SEO	Outside London	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Finance	G6	London	[c]	[c]	[c]	[c]
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).
Organisation	Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
Responsibility_level_ungrouped	With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
	This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
	Responsibility_level_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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.
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).