Civil Service Statistics data browser (2026)

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

Status Year Responsibility_level_ungrouped Parent_department Region_london Organisation Headcount FTE Mean_salary Median_salary
In post 2026 AA Attorney General’s Departments London Crown Prosecution Service [c] [c] [c] [c]
In post 2026 AA Attorney General’s Departments London Serious Fraud Office [c] [c] [c] [c]
In post 2026 AA Attorney General’s Departments Outside London Crown Prosecution Service [c] [c] [c] [c]
In post 2026 AA Department for Business and Trade Outside London Companies House [c] [c] [c] [c]
In post 2026 AA Department for Environment, Food and Rural Affairs Outside London Animal and Plant Health Agency 5 5 [c] [c]
In post 2026 AA Department for Science, Innovation and Technology Outside London Met Office 45 45 26100 27170
In post 2026 AA Department for Transport London Department for Transport (excl. agencies) [c] [c] [c] [c]
In post 2026 AA Department for Transport Outside London Driver and Vehicle Licensing Agency 345 265 24360 24350
In post 2026 AA Department for Transport Outside London Driver and Vehicle Standards Agency 5 5 [c] [c]
In post 2026 AA Department for Transport Outside London Vehicle Certification Agency [c] [c] [c] [c]
In post 2026 AA Department for Work and Pensions London Department for Work and Pensions (excl. agencies) 15 10 27770 27770
In post 2026 AA Department for Work and Pensions Outside London Department for Work and Pensions (excl. agencies) 165 130 27770 27770
In post 2026 AA Department of Health and Social Care London Medicines and Healthcare Products Regulatory Agency [c] [c] [c] [c]
In post 2026 AA Department of Health and Social Care London UK Health Security Agency [c] [c] [c] [c]
In post 2026 AA Department of Health and Social Care Outside London Medicines and Healthcare Products Regulatory Agency [c] [c] [c] [c]
In post 2026 AA Department of Health and Social Care Outside London UK Health Security Agency [c] [c] [c] [c]
In post 2026 AA HM Revenue and Customs London HM Revenue and Customs (excl. agencies) 10 5 [c] [c]
In post 2026 AA HM Revenue and Customs Outside London HM Revenue and Customs (excl. agencies) 435 325 27780 27770
In post 2026 AA Home Office London Home Office 170 155 29390 28630
In post 2026 AA Home Office Outside London Home Office 275 245 24980 24510
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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.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
Responsibility_level_ungrouped 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_ungrouped shows the mapped grades at a higher level of detail, however not all Government Departments / bodies have distinct grades that map exactly to these levels so figures should be considered as approximations and treated with caution.
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".
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).