Civil Service Statistics data browser (2026)

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

Status Year Region_london Region_ITL2 Region_ITL1 Profession_of_post Headcount FTE Mean_salary Median_salary
In post 2026 London Inner London - East London Actuary 125 115 93600 91640
In post 2026 London Inner London - East London Clinical 165 150 91310 83630
In post 2026 London Inner London - East London Commercial 200 195 59090 51770
In post 2026 London Inner London - East London Communications 365 350 55150 50700
In post 2026 London Inner London - East London Counter Fraud 1020 975 43530 42750
In post 2026 London Inner London - East London Cyber 45 45 65520 62990
In post 2026 London Inner London - East London Digital and Data 2330 2290 62230 62830
In post 2026 London Inner London - East London Economics 285 280 63880 64540
In post 2026 London Inner London - East London Finance 580 560 52880 50390
In post 2026 London Inner London - East London Grants [c] [c] [c] [c]
In post 2026 London Inner London - East London Human Resources 415 395 53570 49540
In post 2026 London Inner London - East London Inspector of Education and Training 25 25 78200 74490
In post 2026 London Inner London - East London Intelligence Analysis 190 185 50790 45620
In post 2026 London Inner London - East London Internal Audit 30 25 50470 51620
In post 2026 London Inner London - East London Knowledge and Information Management 75 70 51300 49120
In post 2026 London Inner London - East London Legal 640 610 67950 67360
In post 2026 London Inner London - East London Occupational Psychology 5 5 [c] [c]
In post 2026 London Inner London - East London Operational Delivery 9385 8815 42070 37020
In post 2026 London Inner London - East London Operational Research 160 150 56530 50810
In post 2026 London Inner London - East London Other 560 550 55300 50140
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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Three bodies did not report any professions information for their employees. These are as follows: Scottish Forestry, Forestry and Land Scotland and Serious Fraud Office.
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).