Civil Service Statistics data browser (2026)

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

Status	Year	Disability	Region_london	Ethnicity	Sex	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Declared disabled	London	Asian	Female	1300	1180	44550	39250
In post	2026	Declared disabled	London	Asian	Male	805	775	45510	40970
In post	2026	Declared disabled	London	Asian	Unknown	[c]	[c]	[c]	[c]
In post	2026	Declared disabled	London	Black	Female	1415	1310	42040	37020
In post	2026	Declared disabled	London	Black	Male	435	425	43010	37520
In post	2026	Declared disabled	London	Black	Unknown	[c]	[c]	[c]	[c]
In post	2026	Declared disabled	London	Mixed	Female	460	435	47450	43770
In post	2026	Declared disabled	London	Mixed	Male	245	240	49460	44360
In post	2026	Declared disabled	London	Mixed	Unknown	[c]	[c]	[c]	[c]
In post	2026	Declared disabled	London	Other ethnicity	Female	160	150	47940	42930
In post	2026	Declared disabled	London	Other ethnicity	Male	95	90	53170	44640
In post	2026	Declared disabled	London	Other ethnicity	Unknown	[c]	[c]	[c]	[c]
In post	2026	Declared disabled	London	Undeclared	Female	315	285	43790	37020
In post	2026	Declared disabled	London	Undeclared	Male	235	220	50130	44360
In post	2026	Declared disabled	London	Undeclared	Unknown	[c]	[c]	[c]	[c]
In post	2026	Declared disabled	London	Unknown	Female	230	215	47670	42830
In post	2026	Declared disabled	London	Unknown	Male	160	150	50980	46730
In post	2026	Declared disabled	London	Unknown	Unknown	[c]	[c]	[c]	[c]
In post	2026	Declared disabled	London	White	Female	3935	3690	53730	49500
In post	2026	Declared disabled	London	White	Male	2940	2860	55150	50180
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).
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.
Disability	Self reported disability.
	"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
	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).