Civil Service Statistics data browser (2022)

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

Status Year Disability Ethnicity Sexual_orientation Sex Headcount FTE Mean_salary Median_salary
In post 2022 Declared disabled Asian Heterosexual / straight Female 1525 1370 32640 29290
In post 2022 Declared disabled Asian Heterosexual / straight Male 1110 1065 33060 30020
In post 2022 Declared disabled Asian Heterosexual / straight Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Asian LGBO Female 50 45 33910 32320
In post 2022 Declared disabled Asian LGBO Male 60 55 35190 31060
In post 2022 Declared disabled Asian LGBO Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Asian Undeclared Female 135 120 30520 27570
In post 2022 Declared disabled Asian Undeclared Male 70 65 30050 27570
In post 2022 Declared disabled Asian Undeclared Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Asian Unknown Female 100 80 27720 27540
In post 2022 Declared disabled Asian Unknown Male 85 80 30230 27570
In post 2022 Declared disabled Asian Unknown Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Black Heterosexual / straight Female 1295 1210 32780 30780
In post 2022 Declared disabled Black Heterosexual / straight Male 445 440 33130 31040
In post 2022 Declared disabled Black Heterosexual / straight Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Black LGBO Female 50 50 34910 31060
In post 2022 Declared disabled Black LGBO Male 40 35 37800 31690
In post 2022 Declared disabled Black LGBO Unknown [c] [c] [c] [c]
In post 2022 Declared disabled Black Undeclared Female 105 95 32410 30460
In post 2022 Declared disabled Black Undeclared Male 35 35 32180 31570
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 2023-02-14, with GIT 71a76ea.

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, Defence Electronics and Components Agency, 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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year Year of data collection (as at 31 March).
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.
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).