Civil Service Statistics data browser (2026)

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

Status	Year	Region_london	Sexual_orientation	Age	Sex	Headcount	FTE	Mean_salary	Median_salary
In post	2026	London	Heterosexual / straight	16-19	Female	15	15	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Male	20	20	[c]	[c]
In post	2026	London	Heterosexual / straight	16-19	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	20-29	Female	6485	6410	44200	41580
In post	2026	London	Heterosexual / straight	20-29	Male	4605	4590	44670	42540
In post	2026	London	Heterosexual / straight	20-29	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	30-39	Female	10420	9980	54730	50870
In post	2026	London	Heterosexual / straight	30-39	Male	8175	8125	55140	50870
In post	2026	London	Heterosexual / straight	30-39	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	40-49	Female	9360	8680	57760	51720
In post	2026	London	Heterosexual / straight	40-49	Male	7225	7150	59820	54460
In post	2026	London	Heterosexual / straight	40-49	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	50-59	Female	8380	7930	53540	46710
In post	2026	London	Heterosexual / straight	50-59	Male	6870	6780	58270	51370
In post	2026	London	Heterosexual / straight	50-59	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	60-64	Female	3250	2825	46910	39510
In post	2026	London	Heterosexual / straight	60-64	Male	2605	2370	52550	46080
In post	2026	London	Heterosexual / straight	60-64	Unknown	[c]	[c]	[c]	[c]
In post	2026	London	Heterosexual / straight	65+	Female	1270	980	40410	36400
In post	2026	London	Heterosexual / straight	65+	Male	1120	950	48790	41710
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.
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).