Civil Service Statistics data browser (2023)

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

Status Year Parent_department Sex Sexual_orientation Region_london Headcount FTE Mean_salary Median_salary
In post 2023 Attorney General’s Departments Female Heterosexual / straight London 2225 2075 49530 52020
In post 2023 Attorney General’s Departments Female Heterosexual / straight Outside London 3040 2800 39350 33300
In post 2023 Attorney General’s Departments Female Heterosexual / straight Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female LGBO London 120 110 50240 52020
In post 2023 Attorney General’s Departments Female LGBO Outside London 155 150 34130 28200
In post 2023 Attorney General’s Departments Female LGBO Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Undeclared London 170 160 51890 54230
In post 2023 Attorney General’s Departments Female Undeclared Outside London 125 115 37340 31180
In post 2023 Attorney General’s Departments Female Undeclared Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Female Unknown London 600 535 54160 55710
In post 2023 Attorney General’s Departments Female Unknown Outside London 680 575 42980 40690
In post 2023 Attorney General’s Departments Female Unknown Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Male Heterosexual / straight London 1150 1130 50820 52020
In post 2023 Attorney General’s Departments Male Heterosexual / straight Outside London 1370 1340 44350 49050
In post 2023 Attorney General’s Departments Male Heterosexual / straight Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Male LGBO London 150 150 52560 52400
In post 2023 Attorney General’s Departments Male LGBO Outside London 115 110 41500 32660
In post 2023 Attorney General’s Departments Male LGBO Overseas [c] [c] [c] [c]
In post 2023 Attorney General’s Departments Male Undeclared London 115 115 52910 54100
In post 2023 Attorney General’s Departments Male Undeclared Outside London 65 65 42270 40940
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).