Civil Service Statistics data browser (2023)

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

Status Year Parent_department Sex Disability Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments Female Declared disabled Heterosexual / straight 635 580 43480 38860
In post 2023 Attorney General’s Departments Female Declared disabled LGBO 65 60 41320 31920
In post 2023 Attorney General’s Departments Female Declared disabled Undeclared 45 40 47410 49050
In post 2023 Attorney General’s Departments Female Declared disabled Unknown 70 60 41810 33810
In post 2023 Attorney General’s Departments Female Declared non-disabled Heterosexual / straight 3815 3515 44550 45230
In post 2023 Attorney General’s Departments Female Declared non-disabled LGBO 165 155 43080 34460
In post 2023 Attorney General’s Departments Female Declared non-disabled Undeclared 155 145 48090 52020
In post 2023 Attorney General’s Departments Female Declared non-disabled Unknown 650 550 46540 52480
In post 2023 Attorney General’s Departments Female Undeclared Heterosexual / straight 80 75 48950 52790
In post 2023 Attorney General’s Departments Female Undeclared LGBO 10 10 [c] [c]
In post 2023 Attorney General’s Departments Female Undeclared Undeclared 30 30 46490 51240
In post 2023 Attorney General’s Departments Female Undeclared Unknown 15 10 [c] [c]
In post 2023 Attorney General’s Departments Female Unknown Heterosexual / straight 735 705 38550 32660
In post 2023 Attorney General’s Departments Female Unknown LGBO 40 40 33150 28200
In post 2023 Attorney General’s Departments Female Unknown Undeclared 60 55 38100 29720
In post 2023 Attorney General’s Departments Female Unknown Unknown 545 490 50910 53750
In post 2023 Attorney General’s Departments Male Declared disabled Heterosexual / straight 285 275 45040 45230
In post 2023 Attorney General’s Departments Male Declared disabled LGBO 50 50 48500 52880
In post 2023 Attorney General’s Departments Male Declared disabled Undeclared 25 25 [c] [c]
In post 2023 Attorney General’s Departments Male Declared disabled Unknown 30 30 51030 56450
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 2023-07-27, 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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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).