Civil Service Statistics data browser (2024)

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

Status Year Disability Sexual_orientation Sex Ethnicity Headcount FTE Mean_salary Median_salary
In post 2024 Declared disabled Heterosexual / straight Female Asian 2125 1905 35340 32260
In post 2024 Declared disabled Heterosexual / straight Female Black 1635 1520 35960 33980
In post 2024 Declared disabled Heterosexual / straight Female Mixed 830 770 37420 33720
In post 2024 Declared disabled Heterosexual / straight Female Other ethnicity 185 170 38020 33980
In post 2024 Declared disabled Heterosexual / straight Female Undeclared 255 235 34150 30210
In post 2024 Declared disabled Heterosexual / straight Female Unknown 210 185 35250 30320
In post 2024 Declared disabled Heterosexual / straight Female White 25565 22810 35330 29630
In post 2024 Declared disabled Heterosexual / straight Male Asian 1530 1470 36080 32340
In post 2024 Declared disabled Heterosexual / straight Male Black 580 560 36550 33980
In post 2024 Declared disabled Heterosexual / straight Male Mixed 445 430 38240 33980
In post 2024 Declared disabled Heterosexual / straight Male Other ethnicity 145 140 39140 35110
In post 2024 Declared disabled Heterosexual / straight Male Undeclared 220 210 36920 32680
In post 2024 Declared disabled Heterosexual / straight Male Unknown 125 120 34650 32180
In post 2024 Declared disabled Heterosexual / straight Male White 15775 15020 37540 32880
In post 2024 Declared disabled Heterosexual / straight Unknown Asian [c] [c] [c] [c]
In post 2024 Declared disabled Heterosexual / straight Unknown Black [c] [c] [c] [c]
In post 2024 Declared disabled Heterosexual / straight Unknown Mixed [c] [c] [c] [c]
In post 2024 Declared disabled Heterosexual / straight Unknown Other ethnicity [c] [c] [c] [c]
In post 2024 Declared disabled Heterosexual / straight Unknown Undeclared [c] [c] [c] [c]
In post 2024 Declared disabled Heterosexual / straight Unknown Unknown [c] [c] [c] [c]
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 2024-07-25

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).
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).