Civil Service Statistics data browser (2025)

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

Status Year Region_london Sexual_orientation Sex Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2025 London Heterosexual / straight Female London 39430 37125 50350 44970
In post 2025 London Heterosexual / straight Male London 30750 30130 52810 47700
In post 2025 London Heterosexual / straight Unknown London [c] [c] [c] [c]
In post 2025 London LGBO Female London 2915 2840 51470 47370
In post 2025 London LGBO Male London 3270 3225 54920 49920
In post 2025 London LGBO Unknown London [c] [c] [c] [c]
In post 2025 London Undeclared Female London 5175 4875 48890 44320
In post 2025 London Undeclared Male London 4555 4430 53250 48520
In post 2025 London Unknown Female London 11280 10700 46680 41300
In post 2025 London Unknown Male London 9695 9505 48770 43170
In post 2025 London Unknown Unknown London 25 25 [c] [c]
In post 2025 Outside London Heterosexual / straight Female East (England) 9445 8550 36120 32450
In post 2025 Outside London Heterosexual / straight Female East Midlands (England) 10260 9295 35800 30980
In post 2025 Outside London Heterosexual / straight Female North East (England) 14690 13060 35630 30980
In post 2025 Outside London Heterosexual / straight Female North West (England) 29480 26765 36460 30980
In post 2025 Outside London Heterosexual / straight Female Northern Ireland 1610 1495 38220 34250
In post 2025 Outside London Heterosexual / straight Female Scotland 20010 18305 40780 35200
In post 2025 Outside London Heterosexual / straight Female South East (England) 17100 15535 37220 34080
In post 2025 Outside London Heterosexual / straight Female South West (England) 17800 16185 39910 36540
In post 2025 Outside London Heterosexual / straight Female Wales 17040 15430 37420 31210
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_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_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.
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).