Civil Service Statistics data browser (2025)

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

Status Year Sexual_orientation Ethnicity Sex Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2025 Heterosexual / straight Asian Female East (England) 755 675 34740 30980
In post 2025 Heterosexual / straight Asian Female East Midlands (England) 1205 1070 32780 30980
In post 2025 Heterosexual / straight Asian Female London 8175 7625 44770 39780
In post 2025 Heterosexual / straight Asian Female North East (England) 415 375 33920 30970
In post 2025 Heterosexual / straight Asian Female North West (England) 1865 1695 33800 30980
In post 2025 Heterosexual / straight Asian Female Northern Ireland 15 15 [c] [c]
In post 2025 Heterosexual / straight Asian Female Overseas 80 80 55010 51340
In post 2025 Heterosexual / straight Asian Female Scotland 550 510 37310 32460
In post 2025 Heterosexual / straight Asian Female South East (England) 945 860 35560 33180
In post 2025 Heterosexual / straight Asian Female South West (England) 510 480 38910 35830
In post 2025 Heterosexual / straight Asian Female Unknown 25 25 [c] [c]
In post 2025 Heterosexual / straight Asian Female Wales 370 340 35470 30980
In post 2025 Heterosexual / straight Asian Female West Midlands (England) 3195 2920 33700 30980
In post 2025 Heterosexual / straight Asian Female Yorkshire and The Humber 1840 1660 33340 30980
In post 2025 Heterosexual / straight Asian Male East (England) 565 540 37410 34170
In post 2025 Heterosexual / straight Asian Male East Midlands (England) 1025 995 33640 30980
In post 2025 Heterosexual / straight Asian Male London 5850 5725 45240 40870
In post 2025 Heterosexual / straight Asian Male North East (England) 360 350 37290 30980
In post 2025 Heterosexual / straight Asian Male North West (England) 2275 2220 34780 30980
In post 2025 Heterosexual / straight Asian Male Northern Ireland 5 5 [c] [c]
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 2025-07-17

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.
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).