Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_london / Region_ITL1 / Age / Region_ITL2

Status Year Region_london Region_ITL1 Age Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2026 London London 16-19 Inner London - East 20 20 [c] [c]
In post 2026 London London 16-19 Inner London - West 40 40 33120 33890
In post 2026 London London 16-19 Outer London - East and North East [c] [c] [c] [c]
In post 2026 London London 16-19 Outer London - South 5 5 [c] [c]
In post 2026 London London 16-19 Outer London - West and North West 5 5 [c] [c]
In post 2026 London London 20-29 Inner London - East 3980 3940 40600 37460
In post 2026 London London 20-29 Inner London - West 13335 13280 46360 44200
In post 2026 London London 20-29 Outer London - East and North East 680 670 36140 37020
In post 2026 London London 20-29 Outer London - South 1725 1705 39600 36590
In post 2026 London London 20-29 Outer London - West and North West 1555 1525 38570 37020
In post 2026 London London 30-39 Inner London - East 5785 5635 52210 48030
In post 2026 London London 30-39 Inner London - West 18220 17880 59080 62340
In post 2026 London London 30-39 Outer London - East and North East 870 825 40090 37020
In post 2026 London London 30-39 Outer London - South 2510 2435 46450 43000
In post 2026 London London 30-39 Outer London - West and North West 2150 2070 43240 42680
In post 2026 London London 40-49 Inner London - East 5175 4940 56400 50390
In post 2026 London London 40-49 Inner London - West 12070 11570 65340 64820
In post 2026 London London 40-49 Outer London - East and North East 945 875 40010 37020
In post 2026 London London 40-49 Outer London - South 3060 2930 50470 44980
In post 2026 London London 40-49 Outer London - West and North West 2255 2155 46770 43820
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.
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.
Age Age in 10 year bands. Age is calculated as at the reference date in each year (31st March), so entrants or leavers may have been up to one year younger at the date of exit or entry.
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).