Civil Service Statistics data browser (2026)

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

Status	Year	Region_london	Ethnicity	Parent_department	Responsibility_level_grouped	Headcount	FTE	Mean_salary	Median_salary
In post	2026	London	Asian	Attorney General’s Departments	AA/AO	85	75	28760	28500
In post	2026	London	Asian	Attorney General’s Departments	EO	130	125	33760	34280
In post	2026	London	Asian	Attorney General’s Departments	G6/G7	375	355	70570	67370
In post	2026	London	Asian	Attorney General’s Departments	SCS level	15	15	[c]	[c]
In post	2026	London	Asian	Attorney General’s Departments	SEO/HEO	95	95	41570	39890
In post	2026	London	Asian	Cabinet Office	AA/AO	10	10	[c]	[c]
In post	2026	London	Asian	Cabinet Office	EO	40	40	34910	35200
In post	2026	London	Asian	Cabinet Office	G6/G7	170	170	69200	65550
In post	2026	London	Asian	Cabinet Office	SCS level	25	25	[c]	[c]
In post	2026	London	Asian	Cabinet Office	SEO/HEO	330	325	39300	38000
In post	2026	London	Asian	Chancellor’s other departments	AA/AO	[c]	[c]	[c]	[c]
In post	2026	London	Asian	Chancellor’s other departments	EO	15	15	[c]	[c]
In post	2026	London	Asian	Chancellor’s other departments	G6/G7	20	20	[c]	[c]
In post	2026	London	Asian	Chancellor’s other departments	SCS level	[c]	[c]	[c]	[c]
In post	2026	London	Asian	Chancellor’s other departments	SEO/HEO	25	25	[c]	[c]
In post	2026	London	Asian	Charity Commission	AA/AO	[c]	[c]	[c]	[c]
In post	2026	London	Asian	Charity Commission	EO	[c]	[c]	[c]	[c]
In post	2026	London	Asian	Charity Commission	G6/G7	[c]	[c]	[c]	[c]
In post	2026	London	Asian	Charity Commission	SCS level	[c]	[c]	[c]	[c]
In post	2026	London	Asian	Charity Commission	SEO/HEO	[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).
Parent_department	Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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".
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).