Civil Service Statistics data browser (2025)

Data preview: All civil servants / Region_london / Organisation / Region_ITL1

Explore further: Parent_department, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Region_london Organisation Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2025 London Active Travel England London 10 10 70180 61610
In post 2025 London Advisory, Conciliation and Arbitration Service London 160 155 47980 42490
In post 2025 London Animal and Plant Health Agency London 105 105 39900 37650
In post 2025 London Attorney General’s Office London 55 55 55740 57310
In post 2025 London Building Digital UK London 145 145 55800 58600
In post 2025 London Cabinet Office (excl. agencies) London 3770 3695 60690 61740
In post 2025 London Central Civil Service Fast Stream London 1285 1285 33510 32890
In post 2025 London Charity Commission London 65 60 51890 45840
In post 2025 London Companies House London 5 5 [c] [c]
In post 2025 London Competition and Markets Authority London 865 840 69900 64340
In post 2025 London Crown Commercial Service London 50 50 63640 63440
In post 2025 London Crown Prosecution Service London 1800 1705 50290 44570
In post 2025 London Defence Equipment and Support London 160 150 35670 32530
In post 2025 London Defence Science and Technology Laboratory London [c] [c] [c] [c]
In post 2025 London Department for Business and Trade (excl. agencies) London 4110 4040 55960 59450
In post 2025 London Department for Culture, Media and Sport London 765 735 57540 58370
In post 2025 London Department for Education (excl. agencies) London 2050 1970 56760 60370
In post 2025 London Department for Energy Security and Net Zero London 3335 3265 59890 61430
In post 2025 London Department for Environment, Food and Rural Affairs (excl. agencies) London 2510 2435 52210 45430
In post 2025 London Department for Science, Innovation and Technology (excl. agencies) London 1770 1740 59620 59780
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 2025-07-16

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).
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".
Region_ITL1 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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).