Civil Service Statistics data browser (2025)

Data preview: All civil servants / Sex / Ethnicity / Region_ITL2 / Region_ITL1

Status Year Sex Ethnicity Region_ITL2 Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2025 Female Asian Bedfordshire and Hertfordshire East (England) 455 400 36220 33200
In post 2025 Female Asian Berkshire, Buckinghamshire and Oxfordshire South East (England) 485 435 35680 33180
In post 2025 Female Asian Cambridgeshire and Peterborough East (England) 210 180 31560 27840
In post 2025 Female Asian Cheshire North West (England) 40 35 36720 34540
In post 2025 Female Asian Cornwall and Isles of Scilly South West (England) 5 5 [c] [c]
In post 2025 Female Asian Cumbria North West (England) 5 5 [c] [c]
In post 2025 Female Asian Derbyshire and Nottinghamshire East Midlands (England) 670 605 34910 30980
In post 2025 Female Asian Devon South West (England) 50 45 37720 34270
In post 2025 Female Asian East Central Scotland Scotland 195 185 39720 35200
In post 2025 Female Asian East Yorkshire and Northern Lincolnshire Yorkshire and The Humber 25 25 [c] [c]
In post 2025 Female Asian Eastern Scotland Scotland 45 40 36200 32460
In post 2025 Female Asian Essex East (England) 170 155 35270 34330
In post 2025 Female Asian Gloucestershire and Wiltshire South West (England) 140 135 39490 30980
In post 2025 Female Asian Greater Manchester North West (England) 1305 1190 34630 30980
In post 2025 Female Asian Hampshire and Isle of Wight South East (England) 215 195 34220 30980
In post 2025 Female Asian Herefordshire, Worcestershire and Warwickshire West Midlands (England) 110 100 32500 30980
In post 2025 Female Asian Highlands and Islands Scotland 5 5 [c] [c]
In post 2025 Female Asian Inner London - East London 2150 1990 44310 38660
In post 2025 Female Asian Inner London - West London 4085 3910 49470 46170
In post 2025 Female Asian Kent South East (England) 125 115 34550 34330
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 2025-07-16

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
Year Year of data collection (as at 31 March).
Region_ITL1 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 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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.
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.
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).