Civil Service Statistics data browser (2026)

Data preview: All civil servants / Parent_department / Region_london / Sex / Organisation

Status	Year	Parent_department	Region_london	Sex	Organisation	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Attorney General’s Departments	London	Female	Attorney General’s Office	40	40	58590	59170
In post	2026	Attorney General’s Departments	London	Female	Crown Prosecution Service	1340	1255	49650	41070
In post	2026	Attorney General’s Departments	London	Female	Government Legal Department	1865	1715	65390	67370
In post	2026	Attorney General’s Departments	London	Female	HM Crown Prosecution Service Inspectorate	10	10	[c]	[c]
In post	2026	Attorney General’s Departments	London	Female	Serious Fraud Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	London	Male	Attorney General’s Office	20	20	[c]	[c]
In post	2026	Attorney General’s Departments	London	Male	Crown Prosecution Service	620	605	53030	46800
In post	2026	Attorney General’s Departments	London	Male	Government Legal Department	890	865	65180	67370
In post	2026	Attorney General’s Departments	London	Male	HM Crown Prosecution Service Inspectorate	5	5	[c]	[c]
In post	2026	Attorney General’s Departments	London	Male	Serious Fraud Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	London	Unknown	Serious Fraud Office	610	595	50380	45470
In post	2026	Attorney General’s Departments	Outside London	Female	Attorney General’s Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Outside London	Female	Crown Prosecution Service	4430	4075	44610	38000
In post	2026	Attorney General’s Departments	Outside London	Female	Government Legal Department	430	400	62000	61120
In post	2026	Attorney General’s Departments	Outside London	Female	HM Crown Prosecution Service Inspectorate	5	5	[c]	[c]
In post	2026	Attorney General’s Departments	Outside London	Male	Attorney General’s Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Outside London	Male	Crown Prosecution Service	1925	1860	49340	46260
In post	2026	Attorney General’s Departments	Outside London	Male	Government Legal Department	205	200	63720	65820
In post	2026	Attorney General’s Departments	Outside London	Male	HM Crown Prosecution Service Inspectorate	5	5	[c]	[c]
In post	2026	Attorney General’s Departments	Overseas	Female	Crown Prosecution Service	[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.
Organisation	Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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.
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).