Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_london / Sexual_orientation / Age / Ethnicity

Status	Year	Region_london	Sexual_orientation	Age	Ethnicity	Headcount	FTE	Mean_salary	Median_salary
In post	2026	London	Heterosexual / straight	16-19	Asian	20	20	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Black	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Mixed	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Other ethnicity	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Undeclared	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	White	10	10	[c]	[c]
In post	2026	London	Heterosexual / straight	20-29	Asian	2840	2815	40460	37140
In post	2026	London	Heterosexual / straight	20-29	Black	1395	1375	38490	37020
In post	2026	London	Heterosexual / straight	20-29	Mixed	715	705	43130	40980
In post	2026	London	Heterosexual / straight	20-29	Other ethnicity	225	220	41240	39080
In post	2026	London	Heterosexual / straight	20-29	Undeclared	110	105	41980	39300
In post	2026	London	Heterosexual / straight	20-29	Unknown	160	160	43960	41240
In post	2026	London	Heterosexual / straight	20-29	White	5645	5620	48180	46320
In post	2026	London	Heterosexual / straight	30-39	Asian	3845	3725	48940	45380
In post	2026	London	Heterosexual / straight	30-39	Black	2370	2310	43670	41030
In post	2026	London	Heterosexual / straight	30-39	Mixed	950	920	53240	49920
In post	2026	London	Heterosexual / straight	30-39	Other ethnicity	395	385	50580	46970
In post	2026	London	Heterosexual / straight	30-39	Undeclared	240	235	50500	46370
In post	2026	London	Heterosexual / straight	30-39	Unknown	275	270	54560	50210
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".
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.
Sexual_orientation	Self reported sexual orientation.
	"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
	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.
Age	Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).