Civil Service Statistics data browser (2025)

Data preview: All civil servants / Disability / Region_london / Region_ITL3

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_ITL1, Region_ITL2, Profession_of_post, Function_of_post, Sex, Ethnicity, Sexual_orientation, Age

Status Year Disability Region_london Region_ITL3 Headcount FTE Mean_salary Median_salary
In post 2025 Declared disabled London Barking & Dagenham and Havering 155 140 37160 35680
In post 2025 Declared disabled London Barnet 145 135 40870 35680
In post 2025 Declared disabled London Bexley and Greenwich 245 230 37470 35680
In post 2025 Declared disabled London Brent 85 75 36030 35680
In post 2025 Declared disabled London Bromley 155 145 36550 35680
In post 2025 Declared disabled London Camden 105 100 37080 34950
In post 2025 Declared disabled London Croydon 1230 1145 44750 41550
In post 2025 Declared disabled London Ealing 115 105 38020 35680
In post 2025 Declared disabled London Enfield 70 60 37510 35680
In post 2025 Declared disabled London Hackney and Newham 840 770 45140 40990
In post 2025 Declared disabled London Haringey and Islington 270 255 38490 35680
In post 2025 Declared disabled London Harrow and Hillingdon 405 365 37260 35680
In post 2025 Declared disabled London Hounslow and Richmond upon Thames 380 355 39020 35680
In post 2025 Declared disabled London Kensington & Chelsea and Hammersmith & Fulham 110 100 37890 35680
In post 2025 Declared disabled London Lambeth 260 245 41760 35900
In post 2025 Declared disabled London Lewisham and Southwark 250 230 38380 35680
In post 2025 Declared disabled London Merton, Kingston upon Thames and Sutton 105 100 37290 35680
In post 2025 Declared disabled London Redbridge and Waltham Forest 305 270 33870 32840
In post 2025 Declared disabled London Tower Hamlets 875 850 52260 47660
In post 2025 Declared disabled London Wandsworth 140 125 39040 35680
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 2025-07-16

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.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
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_ITL3 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 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
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.
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).