Civil Service Statistics data browser (2025)

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

Status Year Region_london Region_ITL2 Age Region_ITL3 Headcount FTE Mean_salary Median_salary
In post 2025 London Inner London - East 16-19 Hackney and Newham 5 5 [c] [c]
In post 2025 London Inner London - East 16-19 Haringey and Islington [c] [c] [c] [c]
In post 2025 London Inner London - East 16-19 Lambeth [c] [c] [c] [c]
In post 2025 London Inner London - East 16-19 Lewisham and Southwark [c] [c] [c] [c]
In post 2025 London Inner London - East 16-19 Tower Hamlets 10 10 [c] [c]
In post 2025 London Inner London - East 20-29 Hackney and Newham 1050 1040 39250 35680
In post 2025 London Inner London - East 20-29 Haringey and Islington 305 300 36370 35680
In post 2025 London Inner London - East 20-29 Lambeth 440 435 41200 39530
In post 2025 London Inner London - East 20-29 Lewisham and Southwark 225 220 33710 32830
In post 2025 London Inner London - East 20-29 Tower Hamlets 1580 1565 41030 38450
In post 2025 London Inner London - East 30-39 Hackney and Newham 1530 1475 47220 43170
In post 2025 London Inner London - East 30-39 Haringey and Islington 320 305 39560 39380
In post 2025 London Inner London - East 30-39 Lambeth 650 630 47630 47090
In post 2025 London Inner London - East 30-39 Lewisham and Southwark 255 245 40040 35680
In post 2025 London Inner London - East 30-39 Tower Hamlets 2405 2350 56480 58590
In post 2025 London Inner London - East 40-49 Hackney and Newham 1635 1555 49190 43510
In post 2025 London Inner London - East 40-49 Haringey and Islington 365 335 40080 35790
In post 2025 London Inner London - East 40-49 Lambeth 545 520 51810 48530
In post 2025 London Inner London - East 40-49 Lewisham and Southwark 285 265 41570 35900
In post 2025 London Inner London - East 40-49 Tower Hamlets 2105 2025 62750 61740
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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 2025-07-21

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_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.
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).