Civil Service Statistics data browser (2026)

Data preview: All civil servants / Disability / Sex / Region_ITL2 / Region_ITL3

Status	Year	Disability	Sex	Region_ITL2	Region_ITL3	Headcount	FTE	Mean_salary	Median_salary
In post	2026	Declared disabled	Female	Bedfordshire and Hertfordshire	Bedford	85	75	36890	33850
In post	2026	Declared disabled	Female	Bedfordshire and Hertfordshire	Central Bedfordshire	20	20	[c]	[c]
In post	2026	Declared disabled	Female	Bedfordshire and Hertfordshire	Luton	80	70	33600	32140
In post	2026	Declared disabled	Female	Bedfordshire and Hertfordshire	North and East Hertfordshire	80	75	40280	35700
In post	2026	Declared disabled	Female	Bedfordshire and Hertfordshire	South West Hertfordshire	195	180	42970	37020
In post	2026	Declared disabled	Female	Berkshire, Buckinghamshire and Oxfordshire	Berkshire East	75	65	35790	35620
In post	2026	Declared disabled	Female	Berkshire, Buckinghamshire and Oxfordshire	Berkshire West	155	140	41240	37020
In post	2026	Declared disabled	Female	Berkshire, Buckinghamshire and Oxfordshire	Buckinghamshire	160	145	39790	34870
In post	2026	Declared disabled	Female	Berkshire, Buckinghamshire and Oxfordshire	Milton Keynes	170	160	36750	33250
In post	2026	Declared disabled	Female	Berkshire, Buckinghamshire and Oxfordshire	Oxfordshire CC	205	185	38540	34430
In post	2026	Declared disabled	Female	Cambridgeshire and Peterborough	Cambridgeshire CC	270	250	39060	34770
In post	2026	Declared disabled	Female	Cambridgeshire and Peterborough	Peterborough	165	150	35070	31650
In post	2026	Declared disabled	Female	Cheshire	Cheshire East	130	120	37220	32140
In post	2026	Declared disabled	Female	Cheshire	Cheshire West and Chester	75	70	34860	32140
In post	2026	Declared disabled	Female	Cheshire	Warrington	195	170	39500	37460
In post	2026	Declared disabled	Female	Cornwall and Isles of Scilly	Cornwall and Isles of Scilly	235	205	33250	32140
In post	2026	Declared disabled	Female	Cumbria	Cumberland	205	180	32670	29990
In post	2026	Declared disabled	Female	Cumbria	Westmorland and Furness	50	45	42740	35170
In post	2026	Declared disabled	Female	Derbyshire and Nottinghamshire	Derby	165	140	32490	31650
In post	2026	Declared disabled	Female	Derbyshire and Nottinghamshire	East Derbyshire	65	55	35870	32140
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_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.
Region_ITL3	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 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
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.
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).