Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_ITL2 / Sex / Region_london

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL3, Profession_of_post, Function_of_post, Ethnicity, Disability, Sexual_orientation, Age

Status	Year	Region_ITL2	Sex	Region_london	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Bedfordshire and Hertfordshire	Female	Outside London	2770	2535	40520	35620
In post	2026	Bedfordshire and Hertfordshire	Male	Outside London	2100	2025	42280	38180
In post	2026	Berkshire, Buckinghamshire and Oxfordshire	Female	Outside London	4995	4600	39940	35620
In post	2026	Berkshire, Buckinghamshire and Oxfordshire	Male	Outside London	4600	4485	43640	39870
In post	2026	Cambridgeshire and Peterborough	Female	Outside London	2835	2595	38760	33280
In post	2026	Cambridgeshire and Peterborough	Male	Outside London	2520	2410	41650	38410
In post	2026	Cheshire	Female	Outside London	2600	2395	40440	37060
In post	2026	Cheshire	Male	Outside London	1785	1720	43820	41730
In post	2026	Cornwall and Isles of Scilly	Female	Outside London	1120	975	34580	32140
In post	2026	Cornwall and Isles of Scilly	Male	Outside London	845	805	36030	32140
In post	2026	Cumbria	Female	Outside London	1420	1260	35100	30660
In post	2026	Cumbria	Male	Outside London	1005	970	38510	32140
In post	2026	Derbyshire and Nottinghamshire	Female	Outside London	8785	7975	38730	33280
In post	2026	Derbyshire and Nottinghamshire	Male	Outside London	6885	6625	40310	37140
In post	2026	Devon	Female	Outside London	5190	4620	38490	32140
In post	2026	Devon	Male	Outside London	5120	4895	42240	38010
In post	2026	East Central Scotland	Female	Outside London	9590	8940	47670	42650
In post	2026	East Central Scotland	Male	Outside London	7855	7625	48270	42810
In post	2026	East Yorkshire and Northern Lincolnshire	Female	Outside London	2890	2585	35360	32140
In post	2026	East Yorkshire and Northern Lincolnshire	Male	Outside London	2490	2370	37190	35530
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".
Region_ITL2	Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
	Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
	ITL 2 divides into Northern Ireland, counties in England (most grouped), groups of districts in Greater London, groups of unitary authorities in Wales, groups of council areas in Scotland.
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).