Civil Service Statistics data browser (2026)

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

Status	Year	Ethnicity	Sex	Responsibility_level_grouped	Region_london	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Asian	Female	AA/AO	London	1470	1250	31060	31300
In post	2026	Asian	Female	AA/AO	Outside London	4500	3860	27690	27840
In post	2026	Asian	Female	AA/AO	Overseas	[c]	[c]	[c]	[c]
In post	2026	Asian	Female	AA/AO	Unknown	10	10	[c]	[c]
In post	2026	Asian	Female	EO	London	2920	2620	36980	37020
In post	2026	Asian	Female	EO	Outside London	4980	4490	32420	32140
In post	2026	Asian	Female	EO	Overseas	10	10	[c]	[c]
In post	2026	Asian	Female	EO	Unknown	[c]	[c]	[c]	[c]
In post	2026	Asian	Female	G6/G7	London	1920	1850	69720	67370
In post	2026	Asian	Female	G6/G7	Outside London	1055	1015	65070	62110
In post	2026	Asian	Female	G6/G7	Overseas	40	40	69070	66250
In post	2026	Asian	Female	G6/G7	Unknown	[c]	[c]	[c]	[c]
In post	2026	Asian	Female	SCS level	London	130	120	108570	94480
In post	2026	Asian	Female	SCS level	Outside London	55	50	114150	99590
In post	2026	Asian	Female	SCS level	Overseas	[c]	[c]	[c]	[c]
In post	2026	Asian	Female	SCS level	Unknown	[c]	[c]	[c]	[c]
In post	2026	Asian	Female	SEO/HEO	London	3605	3480	46030	44980
In post	2026	Asian	Female	SEO/HEO	Outside London	3440	3280	42080	39620
In post	2026	Asian	Female	SEO/HEO	Overseas	40	40	45620	40230
In post	2026	Asian	Female	SEO/HEO	Unknown	5	5	[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).
Responsibility_level_grouped	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_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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.
	Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
	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.
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.
	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).