Civil Service Statistics data browser (2026)

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

Status Year Region_london Parent_department Responsibility_level_ungrouped Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2026 London Attorney General’s Departments AA London 5 5 [c] [c]
In post 2026 London Attorney General’s Departments AO London 410 385 28810 28500
In post 2026 London Attorney General’s Departments EO London 900 865 33730 33740
In post 2026 London Attorney General’s Departments G6 London 1100 1000 80240 80020
In post 2026 London Attorney General’s Departments G7 London 1795 1705 66070 63850
In post 2026 London Attorney General’s Departments HEO London 550 540 40180 38570
In post 2026 London Attorney General’s Departments SCS level London 270 255 98050 92000
In post 2026 London Attorney General’s Departments SEO London 365 360 46310 46150
In post 2026 London Cabinet Office AO London 140 125 36640 41050
In post 2026 London Cabinet Office EO London 255 250 34770 35200
In post 2026 London Cabinet Office G6 London 680 670 77820 75510
In post 2026 London Cabinet Office G7 London 1340 1315 65490 64120
In post 2026 London Cabinet Office HEO London 1880 1870 36360 35000
In post 2026 London Cabinet Office SCS level London 470 460 109770 103530
In post 2026 London Cabinet Office SEO London 585 580 48060 48520
In post 2026 London Chancellor’s other departments AO London [c] [c] [c] [c]
In post 2026 London Chancellor’s other departments EO London 40 40 34650 34540
In post 2026 London Chancellor’s other departments G6 London 125 110 100810 93470
In post 2026 London Chancellor’s other departments G7 London 85 85 64820 66360
In post 2026 London Chancellor’s other departments HEO London 65 65 42160 42130
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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.
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".
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).