Civil Service Statistics data browser (2023)

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

Status Year Function_of_post Sex Region_ITL1 Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 Analysis Female East Midlands (England) Heterosexual / straight 45 45 39470 37680
In post 2023 Analysis Female East Midlands (England) LGBO [c] [c] [c] [c]
In post 2023 Analysis Female East Midlands (England) Undeclared 5 5 [c] [c]
In post 2023 Analysis Female East Midlands (England) Unknown 5 5 [c] [c]
In post 2023 Analysis Female East of England Heterosexual / straight 90 80 36000 37300
In post 2023 Analysis Female East of England LGBO 10 10 [c] [c]
In post 2023 Analysis Female East of England Undeclared 15 10 [c] [c]
In post 2023 Analysis Female East of England Unknown 80 75 33130 30350
In post 2023 Analysis Female London Heterosexual / straight 1390 1325 50960 46600
In post 2023 Analysis Female London LGBO 135 130 48280 44170
In post 2023 Analysis Female London Undeclared 140 130 49150 45960
In post 2023 Analysis Female London Unknown 350 345 42740 39110
In post 2023 Analysis Female North East (England) Heterosexual / straight 120 110 40770 38470
In post 2023 Analysis Female North East (England) LGBO 25 20 [c] [c]
In post 2023 Analysis Female North East (England) Undeclared 10 10 [c] [c]
In post 2023 Analysis Female North East (England) Unknown 15 15 [c] [c]
In post 2023 Analysis Female North West (England) Heterosexual / straight 200 185 43090 41780
In post 2023 Analysis Female North West (England) LGBO 35 35 40240 37760
In post 2023 Analysis Female North West (England) Undeclared 15 15 [c] [c]
In post 2023 Analysis Female North West (England) Unknown 35 30 38070 37680
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 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_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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).