Civil Service Statistics data browser (2026)

Data preview: All civil servants / Organisation / Parent_department / Function_of_post

Explore further: Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status	Year	Organisation	Parent_department	Function_of_post	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Accountant in Bankruptcy	Scottish Government	Unknown	105	95	40910	36610
In post	2026	Active Travel England	Department for Transport	Analysis	5	5	[c]	[c]
In post	2026	Active Travel England	Department for Transport	Communications	10	10	[c]	[c]
In post	2026	Active Travel England	Department for Transport	Digital and Data	10	10	[c]	[c]
In post	2026	Active Travel England	Department for Transport	Finance	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Department for Transport	No function	60	55	51340	46880
In post	2026	Active Travel England	Department for Transport	People	[c]	[c]	[c]	[c]
In post	2026	Active Travel England	Department for Transport	Project Delivery	15	15	52930	51330
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	Analysis	20	20	49120	48750
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	Commercial	5	5	[c]	[c]
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	Communications	20	20	42730	40720
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	Digital and Data	80	80	49920	48400
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	Finance	20	20	47380	43740
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	No function	870	790	36790	36550
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	People	50	45	44470	39570
In post	2026	Advisory, Conciliation and Arbitration Service	Department for Business and Trade	Project Delivery	75	75	49780	46750
In post	2026	Animal and Plant Health Agency	Department for Environment, Food and Rural Affairs	Analysis	235	230	40370	38910
In post	2026	Animal and Plant Health Agency	Department for Environment, Food and Rural Affairs	Commercial	60	55	36170	33650
In post	2026	Animal and Plant Health Agency	Department for Environment, Food and Rural Affairs	Communications	40	40	31280	26030
In post	2026	Animal and Plant Health Agency	Department for Environment, Food and Rural Affairs	Finance	35	30	32340	33410
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.
Organisation	Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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).