Civil Service Statistics data browser (2026)

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

Status	Year	Parent_department	Ethnicity	Sex	Organisation	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Attorney General’s Departments	Asian	Female	Attorney General’s Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Female	Crown Prosecution Service	625	570	45750	38000
In post	2026	Attorney General’s Departments	Asian	Female	Government Legal Department	245	230	63830	67370
In post	2026	Attorney General’s Departments	Asian	Female	HM Crown Prosecution Service Inspectorate	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Female	Serious Fraud Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Male	Attorney General’s Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Male	Crown Prosecution Service	245	240	48890	46800
In post	2026	Attorney General’s Departments	Asian	Male	Government Legal Department	120	120	60650	63190
In post	2026	Attorney General’s Departments	Asian	Male	HM Crown Prosecution Service Inspectorate	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Male	Serious Fraud Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Unknown	Attorney General’s Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Unknown	Crown Prosecution Service	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Unknown	Government Legal Department	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Unknown	HM Crown Prosecution Service Inspectorate	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Asian	Unknown	Serious Fraud Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Black	Female	Attorney General’s Office	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Black	Female	Crown Prosecution Service	315	295	46370	37620
In post	2026	Attorney General’s Departments	Black	Female	Government Legal Department	165	155	53390	61120
In post	2026	Attorney General’s Departments	Black	Female	HM Crown Prosecution Service Inspectorate	[c]	[c]	[c]	[c]
In post	2026	Attorney General’s Departments	Black	Female	Serious Fraud Office	[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.
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).