Civil Service Statistics data browser (2026)

Data preview: All civil servants / Ethnicity / Region_london / Region_ITL3 / Region_ITL2

Status Year Ethnicity Region_london Region_ITL3 Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2026 Asian London Barking & Dagenham and Havering Outer London - East and North East 250 230 37510 37020
In post 2026 Asian London Barnet Outer London - West and North West 445 420 47880 38150
In post 2026 Asian London Bexley and Greenwich Outer London - East and North East 150 140 38240 37020
In post 2026 Asian London Brent Outer London - West and North West 140 125 37820 37020
In post 2026 Asian London Bromley Outer London - South 70 70 39570 37020
In post 2026 Asian London Camden Inner London - West 190 180 38460 35860
In post 2026 Asian London Croydon Outer London - South 2185 2070 44480 42540
In post 2026 Asian London Ealing Outer London - West and North West 200 180 37800 37020
In post 2026 Asian London Enfield Outer London - East and North East 70 60 37520 37020
In post 2026 Asian London Hackney and Newham Inner London - East 2150 2020 43810 37920
In post 2026 Asian London Haringey and Islington Inner London - East 225 210 37840 37020
In post 2026 Asian London Harrow and Hillingdon Outer London - West and North West 1410 1290 42670 42950
In post 2026 Asian London Hounslow and Richmond upon Thames Outer London - West and North West 795 735 40320 37020
In post 2026 Asian London Kensington & Chelsea and Hammersmith & Fulham Inner London - West 120 115 39890 37020
In post 2026 Asian London Lambeth Inner London - East 215 205 45430 42270
In post 2026 Asian London Lewisham and Southwark Inner London - East 125 120 38650 37020
In post 2026 Asian London Merton, Kingston upon Thames and Sutton Outer London - South 100 90 41010 37020
In post 2026 Asian London Redbridge and Waltham Forest Outer London - East and North East 620 550 35940 37020
In post 2026 Asian London Tower Hamlets Inner London - East 1765 1715 50620 46310
In post 2026 Asian London Wandsworth Inner London - West 105 95 38540 37020
Note:
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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_ITL2 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 2 divides into Northern Ireland, counties in England (most grouped), groups of districts in Greater London, groups of unitary authorities in Wales, groups of council areas in Scotland.
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.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).