Civil Service Statistics data browser (2025)

Data preview: All civil servants / Ethnicity / Sex / Sexual_orientation / Region_ITL3

Status Year Ethnicity Sex Sexual_orientation Region_ITL3 Headcount FTE Mean_salary Median_salary
In post 2025 Asian Female Heterosexual / straight Aberdeen City and Aberdeenshire 20 15 [c] [c]
In post 2025 Asian Female Heterosexual / straight Angus and Dundee City 30 25 33530 32460
In post 2025 Asian Female Heterosexual / straight Antrim and Newtownabbey [c] [c] [c] [c]
In post 2025 Asian Female Heterosexual / straight Ards and North Down [c] [c] [c] [c]
In post 2025 Asian Female Heterosexual / straight Armagh City, Banbridge and Craigavon [c] [c] [c] [c]
In post 2025 Asian Female Heterosexual / straight Babergh and Mid Suffolk [c] [c] [c] [c]
In post 2025 Asian Female Heterosexual / straight Barking & Dagenham and Havering 135 120 36390 35680
In post 2025 Asian Female Heterosexual / straight Barnet 225 205 44240 36180
In post 2025 Asian Female Heterosexual / straight Barnsley 10 5 [c] [c]
In post 2025 Asian Female Heterosexual / straight Bath & North East Somerset and South Gloucestershire 165 155 41980 37100
In post 2025 Asian Female Heterosexual / straight Bedford 60 55 31590 30980
In post 2025 Asian Female Heterosexual / straight Belfast 10 10 [c] [c]
In post 2025 Asian Female Heterosexual / straight Berkshire East 115 105 34500 34330
In post 2025 Asian Female Heterosexual / straight Berkshire West 100 90 36200 34330
In post 2025 Asian Female Heterosexual / straight Bexley and Greenwich 55 45 35050 35680
In post 2025 Asian Female Heterosexual / straight Birmingham 1955 1790 33260 30980
In post 2025 Asian Female Heterosexual / straight Blackburn with Darwen 60 55 32500 30980
In post 2025 Asian Female Heterosexual / straight Blackpool 35 35 36920 30980
In post 2025 Asian Female Heterosexual / straight Bournemouth, Christchurch and Poole 10 10 [c] [c]
In post 2025 Asian Female Heterosexual / straight Bradford 460 405 29500 26640
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_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.
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.
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.
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).