Civil Service Statistics data browser (2026)

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

Status Year Region_london Parent_department Region_ITL1 Organisation Headcount FTE Mean_salary Median_salary
In post 2026 London Attorney General’s Departments London Attorney General’s Office 65 65 61950 61080
In post 2026 London Attorney General’s Departments London Crown Prosecution Service 1960 1860 50720 45700
In post 2026 London Attorney General’s Departments London Government Legal Department 2755 2580 65320 67370
In post 2026 London Attorney General’s Departments London HM Crown Prosecution Service Inspectorate 15 15 62860 67190
In post 2026 London Attorney General’s Departments London Serious Fraud Office 610 595 50380 45470
In post 2026 London Cabinet Office London Cabinet Office (excl. agencies) 3065 3000 60400 63320
In post 2026 London Cabinet Office London Central Civil Service Fast Stream 1435 1435 34920 35000
In post 2026 London Cabinet Office London Crown Commercial Service 45 45 68800 65500
In post 2026 London Cabinet Office London Government Commercial Organisation 720 710 81650 76270
In post 2026 London Cabinet Office London Government Property Agency 80 75 66300 63610
In post 2026 London Chancellor’s other departments London Government Actuary’s Department 210 200 76820 67540
In post 2026 London Chancellor’s other departments London National Savings and Investments 185 180 62500 56250
In post 2026 London Charity Commission London Charity Commission 70 65 54520 53480
In post 2026 London Competition and Markets Authority London Competition and Markets Authority 725 705 72860 66170
In post 2026 London Department for Business and Trade London Advisory, Conciliation and Arbitration Service 165 155 50050 43740
In post 2026 London Department for Business and Trade London Companies House 10 10 52530 47040
In post 2026 London Department for Business and Trade London Department for Business and Trade (excl. agencies) 4000 3930 58830 61850
In post 2026 London Department for Business and Trade London The Insolvency Service 485 460 45630 40840
In post 2026 London Department for Culture, Media and Sport London Department for Culture, Media and Sport 780 755 59790 60100
In post 2026 London Department for Education London Department for Education (excl. agencies) 2135 2055 59110 62340
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.
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).