Civil Service Statistics data browser (2025)

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

Status Year Parent_department Sex Responsibility_level_grouped Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2025 Attorney General’s Departments Female AA/AO Heterosexual / straight 825 740 26660 25700
In post 2025 Attorney General’s Departments Female AA/AO LGBO 50 45 26440 25700
In post 2025 Attorney General’s Departments Female AA/AO Undeclared 35 35 26890 27450
In post 2025 Attorney General’s Departments Female AA/AO Unknown 250 220 26270 25700
In post 2025 Attorney General’s Departments Female EO Heterosexual / straight 1025 950 31750 31350
In post 2025 Attorney General’s Departments Female EO LGBO 75 70 32180 31350
In post 2025 Attorney General’s Departments Female EO Undeclared 55 50 31560 31350
In post 2025 Attorney General’s Departments Female EO Unknown 375 345 31440 31350
In post 2025 Attorney General’s Departments Female G6/G7 Heterosexual / straight 2505 2280 64880 61650
In post 2025 Attorney General’s Departments Female G6/G7 LGBO 115 110 65670 64270
In post 2025 Attorney General’s Departments Female G6/G7 Undeclared 145 135 65830 61650
In post 2025 Attorney General’s Departments Female G6/G7 Unknown 800 715 65870 61650
In post 2025 Attorney General’s Departments Female SCS level Heterosexual / straight 160 150 95800 90340
In post 2025 Attorney General’s Departments Female SCS level LGBO 10 10 [c] [c]
In post 2025 Attorney General’s Departments Female SCS level Undeclared 5 5 [c] [c]
In post 2025 Attorney General’s Departments Female SCS level Unknown 55 55 93510 89460
In post 2025 Attorney General’s Departments Female SEO/HEO Heterosexual / straight 785 755 40020 38630
In post 2025 Attorney General’s Departments Female SEO/HEO LGBO 50 50 39800 38630
In post 2025 Attorney General’s Departments Female SEO/HEO Undeclared 45 40 41050 38630
In post 2025 Attorney General’s Departments Female SEO/HEO Unknown 280 265 40780 39520
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 2025-07-18

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, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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).