Civil Service Statistics data browser (2025)

Data preview: All civil servants / Region_london / Sex / Ethnicity / Responsibility_level_ungrouped

Status	Year	Region_london	Sex	Ethnicity	Responsibility_level_ungrouped	Headcount	FTE	Mean_salary	Median_salary
In post	2025	London	Female	Asian	AA	105	85	28060	27800
In post	2025	London	Female	Asian	AO	1265	1065	29600	29250
In post	2025	London	Female	Asian	EO	2815	2535	34750	35180
In post	2025	London	Female	Asian	G6	475	455	78110	77370
In post	2025	London	Female	Asian	G7	1345	1305	63760	62480
In post	2025	London	Female	Asian	HEO	1980	1905	40550	41550
In post	2025	London	Female	Asian	SCS level	135	125	104400	91390
In post	2025	London	Female	Asian	SEO	1475	1430	48770	48720
In post	2025	London	Female	Asian	Unknown	195	180	35520	31920
In post	2025	London	Female	Black	AA	170	155	30170	30680
In post	2025	London	Female	Black	AO	1205	1075	30750	30070
In post	2025	London	Female	Black	EO	2395	2235	34910	35680
In post	2025	London	Female	Black	G6	160	155	76800	75930
In post	2025	London	Female	Black	G7	730	720	63900	62250
In post	2025	London	Female	Black	HEO	1395	1355	40810	41550
In post	2025	London	Female	Black	SCS level	40	40	95840	89180
In post	2025	London	Female	Black	SEO	915	900	48990	48920
In post	2025	London	Female	Black	Unknown	565	535	37540	35900
In post	2025	London	Female	Mixed	AA	30	30	[c]	[c]
In post	2025	London	Female	Mixed	AO	195	175	31230	30070

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).
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".
Sex	Self reported sex.
	"Unknown" accounts for employees who were recorded with an unknown sex.
Ethnicity	Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).