Civil Service Statistics data browser (2026)

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

Status Year Region_london Region_ITL2 Region_ITL1 Age Headcount FTE Mean_salary Median_salary
In post 2026 London Inner London - East London 16-19 20 20 [c] [c]
In post 2026 London Inner London - East London 20-29 3980 3940 40600 37460
In post 2026 London Inner London - East London 30-39 5785 5635 52210 48030
In post 2026 London Inner London - East London 40-49 5175 4940 56400 50390
In post 2026 London Inner London - East London 50-59 4815 4635 54020 46630
In post 2026 London Inner London - East London 60-64 1940 1675 48360 43170
In post 2026 London Inner London - East London 65+ 820 630 44130 37520
In post 2026 London Inner London - West London 16-19 40 40 33120 33890
In post 2026 London Inner London - West London 20-29 13335 13280 46360 44200
In post 2026 London Inner London - West London 30-39 18220 17880 59080 62340
In post 2026 London Inner London - West London 40-49 12070 11570 65340 64820
In post 2026 London Inner London - West London 50-59 9855 9570 63050 63080
In post 2026 London Inner London - West London 60-64 3250 2985 56110 50040
In post 2026 London Inner London - West London 65+ 1250 1070 50920 42180
In post 2026 London Inner London - West London Unknown [c] [c] [c] [c]
In post 2026 London Outer London - East and North East London 16-19 [c] [c] [c] [c]
In post 2026 London Outer London - East and North East London 20-29 680 670 36140 37020
In post 2026 London Outer London - East and North East London 30-39 870 825 40090 37020
In post 2026 London Outer London - East and North East London 40-49 945 875 40010 37020
In post 2026 London Outer London - East and North East London 50-59 1210 1125 38980 37020
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).