Civil Service Statistics data browser (2025)

Data preview: All civil servants / Sex / Region_london / Region_ITL1 / Function_of_post

Status	Year	Sex	Region_london	Region_ITL1	Function_of_post	Headcount	FTE	Mean_salary	Median_salary
In post	2025	Female	London	London	Analysis	2425	2310	56860	53220
In post	2025	Female	London	London	Commercial	990	965	59910	58970
In post	2025	Female	London	London	Communications	1455	1410	54310	50060
In post	2025	Female	London	London	Counter Fraud	1670	1520	40190	36110
In post	2025	Female	London	London	Debt	390	335	32710	30070
In post	2025	Female	London	London	Digital and Data	2915	2830	54350	50000
In post	2025	Female	London	London	Finance	1455	1390	53450	49090
In post	2025	Female	London	London	Grants Management	80	75	51910	49000
In post	2025	Female	London	London	Internal Audit	100	90	53320	50820
In post	2025	Female	London	London	Legal	3480	3215	59140	61200
In post	2025	Female	London	London	No function	35570	33565	47300	41880
In post	2025	Female	London	London	People	1945	1850	53330	48470
In post	2025	Female	London	London	Project Delivery	2855	2725	56610	50300
In post	2025	Female	London	London	Property	585	555	47200	42170
In post	2025	Female	London	London	Security	725	705	51210	47660
In post	2025	Female	London	London	Unknown	2160	2000	43570	35680
In post	2025	Female	Outside London	East (England)	Analysis	50	45	43060	42120
In post	2025	Female	Outside London	East (England)	Commercial	165	155	50040	46790
In post	2025	Female	Outside London	East (England)	Communications	45	40	41170	37410
In post	2025	Female	Outside London	East (England)	Counter Fraud	400	355	33570	31540

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 2025-07-18

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.
	Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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".
Region_ITL1	Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
	Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
	ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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.
Sex	Self reported sex.
	"Unknown" accounts for employees who were recorded with an unknown sex.
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).