Civil Service Statistics data browser (2023)

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

Status Year Region_london Organisation Sex Parent_department Headcount FTE Mean_salary Median_salary
In post 2023 London Active Travel England Female Department for Transport [c] [c] [c] [c]
In post 2023 London Active Travel England Male Department for Transport [c] [c] [c] [c]
In post 2023 London Advisory, Conciliation and Arbitration Service Female Department for Business, Energy and Industrial Strategy 100 95 41920 39360
In post 2023 London Advisory, Conciliation and Arbitration Service Male Department for Business, Energy and Industrial Strategy 75 75 46160 45240
In post 2023 London Animal and Plant Health Agency Female Department for Environment, Food and Rural Affairs 40 40 38510 33830
In post 2023 London Animal and Plant Health Agency Male Department for Environment, Food and Rural Affairs 45 45 37120 32720
In post 2023 London Attorney General’s Office Female Attorney General’s Departments 30 25 [c] [c]
In post 2023 London Attorney General’s Office Male Attorney General’s Departments 20 20 [c] [c]
In post 2023 London Building Digital UK Female Department for Digital, Culture, Media and Sport 75 75 46830 52760
In post 2023 London Building Digital UK Male Department for Digital, Culture, Media and Sport 65 65 50980 53030
In post 2023 London Cabinet Office (excl. agencies) Female Cabinet Office 1865 1805 52300 56430
In post 2023 London Cabinet Office (excl. agencies) Male Cabinet Office 1700 1690 55540 56430
In post 2023 London Central Civil Service Fast Stream Female Cabinet Office 735 730 30770 30130
In post 2023 London Central Civil Service Fast Stream Male Cabinet Office 455 455 30770 30130
In post 2023 London Charity Commission Female Charity Commission 50 45 47360 42880
In post 2023 London Charity Commission Male Charity Commission 35 30 43320 38800
In post 2023 London Companies House Female Department for Business, Energy and Industrial Strategy [c] [c] [c] [c]
In post 2023 London Companies House Male Department for Business, Energy and Industrial Strategy [c] [c] [c] [c]
In post 2023 London Competition and Markets Authority Female Competition and Markets Authority 395 375 60630 57540
In post 2023 London Competition and Markets Authority Male Competition and Markets Authority 400 390 65120 60850
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.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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.
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).