Civil Service Statistics data browser (2023)

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

Status Year Responsibility_level_grouped Parent_department Sex Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2023 AA/AO Attorney General’s Departments Female Heterosexual / straight 915 840 23180 22870
In post 2023 AA/AO Attorney General’s Departments Female LGBO 45 45 22800 22870
In post 2023 AA/AO Attorney General’s Departments Female Undeclared 45 45 23470 24280
In post 2023 AA/AO Attorney General’s Departments Female Unknown 185 150 23540 22870
In post 2023 AA/AO Attorney General’s Departments Male Heterosexual / straight 335 330 23200 22870
In post 2023 AA/AO Attorney General’s Departments Male LGBO 40 40 22760 22870
In post 2023 AA/AO Attorney General’s Departments Male Undeclared 15 15 [c] [c]
In post 2023 AA/AO Attorney General’s Departments Male Unknown 65 65 23400 22870
In post 2023 AA/AO Attorney General’s Departments Unknown Heterosexual / straight [c] [c] [c] [c]
In post 2023 AA/AO Attorney General’s Departments Unknown LGBO [c] [c] [c] [c]
In post 2023 AA/AO Cabinet Office Female Heterosexual / straight 180 160 22360 21720
In post 2023 AA/AO Cabinet Office Female LGBO 20 20 [c] [c]
In post 2023 AA/AO Cabinet Office Female Undeclared 10 10 [c] [c]
In post 2023 AA/AO Cabinet Office Female Unknown 35 35 22640 21830
In post 2023 AA/AO Cabinet Office Male Heterosexual / straight 125 125 22580 21720
In post 2023 AA/AO Cabinet Office Male LGBO 10 10 [c] [c]
In post 2023 AA/AO Cabinet Office Male Undeclared 15 15 [c] [c]
In post 2023 AA/AO Cabinet Office Male Unknown 40 40 22860 21830
In post 2023 AA/AO Cabinet Office Unknown Heterosexual / straight [c] [c] [c] [c]
In post 2023 AA/AO Cabinet Office Unknown LGBO [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 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.
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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).