Civil Service Statistics data browser (2026)

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

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

Status Year Region_ITL1 Disability Region_london Headcount FTE Mean_salary Median_salary
In post 2026 East (England) Declared disabled Outside London 3535 3220 37670 35590
In post 2026 East (England) Declared non-disabled Outside London 14795 13770 39550 35620
In post 2026 East (England) Undeclared Outside London 1370 1255 40020 37020
In post 2026 East (England) Unknown Outside London 3380 3215 39380 35570
In post 2026 East Midlands (England) Declared disabled Outside London 4180 3805 36250 32140
In post 2026 East Midlands (England) Declared non-disabled Outside London 16305 15180 38830 35130
In post 2026 East Midlands (England) Undeclared Outside London 1430 1315 38840 35530
In post 2026 East Midlands (England) Unknown Outside London 4270 4055 36420 32140
In post 2026 London Declared disabled London 12735 12030 50080 44630
In post 2026 London Declared non-disabled London 62985 60225 53910 49150
In post 2026 London Undeclared London 5780 5540 52480 46970
In post 2026 London Unknown London 26310 25665 51990 46900
In post 2026 North East (England) Declared disabled Outside London 5145 4620 36300 32140
In post 2026 North East (England) Declared non-disabled Outside London 22570 20805 38980 33270
In post 2026 North East (England) Undeclared Outside London 1850 1690 39100 35530
In post 2026 North East (England) Unknown Outside London 5725 5355 36660 32120
In post 2026 North West (England) Declared disabled Outside London 11255 10270 37170 32140
In post 2026 North West (England) Declared non-disabled Outside London 46940 43845 39160 33000
In post 2026 North West (England) Undeclared Outside London 3780 3500 38760 33280
In post 2026 North West (England) Unknown Outside London 13360 12765 38140 32470
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).
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.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
The Serious Fraud Office have not reported any data for profession, function, ethnicity, disabilty and sexual orientation due to alignment concerns with these fields with external reporting criteria. The Serious Fraud Office is currently undertaking work to ensure a robust dataset is reported for the 2027 ACSES return.
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).