Civil Service Statistics data browser (2023)

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

Status Year Region_london Region_ITL1 Sexual_orientation Sex Headcount FTE Mean_salary Median_salary
In post 2023 London London Heterosexual / straight Female 37915 35810 45040 40260
In post 2023 London London Heterosexual / straight Male 29975 29425 47660 42310
In post 2023 London London Heterosexual / straight Unknown 5 5 [c] [c]
In post 2023 London London LGBO Female 2530 2470 45400 41360
In post 2023 London London LGBO Male 3095 3065 49340 44450
In post 2023 London London LGBO Unknown [c] [c] [c] [c]
In post 2023 London London Undeclared Female 4820 4525 43540 39150
In post 2023 London London Undeclared Male 4230 4115 47950 43420
In post 2023 London London Unknown Female 11435 10845 42110 36000
In post 2023 London London Unknown Male 9725 9530 44450 39270
In post 2023 Outside London East Midlands (England) Heterosexual / straight Female 9400 8505 31790 28120
In post 2023 Outside London East Midlands (England) Heterosexual / straight Male 6820 6610 33910 30470
In post 2023 Outside London East Midlands (England) Heterosexual / straight Unknown [c] [c] [c] [c]
In post 2023 Outside London East Midlands (England) LGBO Female 620 595 31350 28130
In post 2023 Outside London East Midlands (England) LGBO Male 430 420 31400 28120
In post 2023 Outside London East Midlands (England) LGBO Unknown [c] [c] [c] [c]
In post 2023 Outside London East Midlands (England) Undeclared Female 1085 965 31330 28120
In post 2023 Outside London East Midlands (England) Undeclared Male 880 835 34380 32000
In post 2023 Outside London East Midlands (England) Unknown Female 2380 2120 28990 28080
In post 2023 Outside London East Midlands (England) Unknown Male 2010 1925 31040 28120
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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 2023-07-26, with GIT d545f65.

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.
Four 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, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
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).