Civil Service Statistics data browser (2026)

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

Explore further: Organisation, 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_ITL1 Parent_department Region_london Headcount FTE Mean_salary Median_salary
In post 2026 East (England) Attorney General’s Departments Outside London 620 560 46640 38000
In post 2026 East (England) Cabinet Office Outside London 250 245 56860 50190
In post 2026 East (England) Department for Business and Trade Outside London 145 135 41600 39570
In post 2026 East (England) Department for Education Outside London 145 135 57430 58190
In post 2026 East (England) Department for Energy Security and Net Zero Outside London 20 15 56210 53110
In post 2026 East (England) Department for Environment, Food and Rural Affairs Outside London 925 880 42640 42680
In post 2026 East (England) Department for Science, Innovation and Technology Outside London 25 25 44150 44110
In post 2026 East (England) Department for Transport Outside London 410 380 34580 31600
In post 2026 East (England) Department for Work and Pensions Outside London 4300 3850 34920 34430
In post 2026 East (England) Department of Health and Social Care Outside London 645 620 53490 47170
In post 2026 East (England) Food Standards Agency Outside London 120 115 45130 39320
In post 2026 East (England) HM Land Registry Outside London 310 270 37390 32120
In post 2026 East (England) HM Revenue and Customs Outside London 695 640 38000 32800
In post 2026 East (England) HM Treasury Outside London 85 80 38600 34910
In post 2026 East (England) Home Office Outside London 2260 2060 40610 39900
In post 2026 East (England) Ministry of Defence Outside London 3380 3265 41340 38410
In post 2026 East (England) Ministry of Housing, Communities and Local Government Outside London 155 145 56150 58090
In post 2026 East (England) Ministry of Justice Outside London 8250 7710 36590 35130
In post 2026 East (England) National Crime Agency Outside London 220 210 50830 48320
In post 2026 East (England) Office for Standards in Education, Children’s Services and Skills Outside London 105 100 71130 64630
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 2026-07-16

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.
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.
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).