Civil Service Statistics data browser (2024)

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

Status Year Parent_department Region_london Age Sexual_orientation Headcount FTE Mean_salary Median_salary
In post 2024 Attorney General’s Departments London 16-19 Heterosexual / straight [c] [c] [c] [c]
In post 2024 Attorney General’s Departments London 16-19 LGBO [c] [c] [c] [c]
In post 2024 Attorney General’s Departments London 16-19 Unknown [c] [c] [c] [c]
In post 2024 Attorney General’s Departments London 20-29 Heterosexual / straight 590 590 34970 30130
In post 2024 Attorney General’s Departments London 20-29 LGBO 70 70 37290 33310
In post 2024 Attorney General’s Departments London 20-29 Undeclared 50 50 35040 30130
In post 2024 Attorney General’s Departments London 20-29 Unknown 90 85 38120 33310
In post 2024 Attorney General’s Departments London 30-39 Heterosexual / straight 920 885 53060 58000
In post 2024 Attorney General’s Departments London 30-39 LGBO 95 95 54260 58000
In post 2024 Attorney General’s Departments London 30-39 Undeclared 65 65 52770 58000
In post 2024 Attorney General’s Departments London 30-39 Unknown 170 165 54520 58000
In post 2024 Attorney General’s Departments London 40-49 Heterosexual / straight 920 845 59220 60000
In post 2024 Attorney General’s Departments London 40-49 LGBO 65 65 61230 60300
In post 2024 Attorney General’s Departments London 40-49 Undeclared 75 70 62920 70000
In post 2024 Attorney General’s Departments London 40-49 Unknown 295 265 61310 64710
In post 2024 Attorney General’s Departments London 50-59 Heterosexual / straight 815 780 59240 61360
In post 2024 Attorney General’s Departments London 50-59 LGBO 55 50 66160 71600
In post 2024 Attorney General’s Departments London 50-59 Undeclared 50 50 61330 65050
In post 2024 Attorney General’s Departments London 50-59 Unknown 270 250 57590 62810
In post 2024 Attorney General’s Departments London 60-64 Heterosexual / straight 215 190 53820 56980
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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
On 8 July 2024, the Department for Levelling Up, Housing and Communities changed its name to the Ministry for Housing, Communities and Local Government.
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".
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).