Civil Service Statistics data browser (2023)

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

Status Year Sexual_orientation Disability Region_london Sex Headcount FTE Mean_salary Median_salary
In post 2023 Heterosexual / straight Declared disabled London Female 4665 4370 42260 36180
In post 2023 Heterosexual / straight Declared disabled London Male 2940 2855 44840 39780
In post 2023 Heterosexual / straight Declared disabled London Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Declared disabled Outside London Female 23340 20690 31290 28120
In post 2023 Heterosexual / straight Declared disabled Outside London Male 14215 13485 33240 29050
In post 2023 Heterosexual / straight Declared disabled Outside London Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Declared disabled Overseas Female 55 55 46800 42620
In post 2023 Heterosexual / straight Declared disabled Overseas Male 75 75 50670 48670
In post 2023 Heterosexual / straight Declared disabled Overseas Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Declared disabled Unknown Female 50 45 33880 28120
In post 2023 Heterosexual / straight Declared disabled Unknown Male 30 30 34580 28120
In post 2023 Heterosexual / straight Declared disabled Unknown Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Declared non-disabled London Female 28235 26625 45470 40800
In post 2023 Heterosexual / straight Declared non-disabled London Male 23190 22780 48100 43210
In post 2023 Heterosexual / straight Declared non-disabled London Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Declared non-disabled Outside London Female 117290 106385 33190 28440
In post 2023 Heterosexual / straight Declared non-disabled Outside London Male 93115 90340 35970 32160
In post 2023 Heterosexual / straight Declared non-disabled Outside London Unknown [c] [c] [c] [c]
In post 2023 Heterosexual / straight Declared non-disabled Overseas Female 620 615 51390 45060
In post 2023 Heterosexual / straight Declared non-disabled Overseas Male 965 960 51820 48750
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 2023-07-29, 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".
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).