Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_ITL1 / Profession_of_post / Function_of_post

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL2, Region_ITL3, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Region_ITL1 Profession_of_post Function_of_post Headcount FTE Mean_salary Median_salary
In post 2026 East (England) Clinical No function 165 150 66320 48910
In post 2026 East (England) Clinical Unknown [c] [c] [c] [c]
In post 2026 East (England) Commercial Commercial 215 210 52340 49030
In post 2026 East (England) Commercial No function 45 45 63860 59210
In post 2026 East (England) Commercial People [c] [c] [c] [c]
In post 2026 East (England) Commercial Unknown 5 5 [c] [c]
In post 2026 East (England) Communications Communications 65 65 42040 38960
In post 2026 East (England) Communications Digital and Data [c] [c] [c] [c]
In post 2026 East (England) Communications Legal [c] [c] [c] [c]
In post 2026 East (England) Communications No function 25 25 32710 29990
In post 2026 East (England) Communications People [c] [c] [c] [c]
In post 2026 East (England) Communications Property [c] [c] [c] [c]
In post 2026 East (England) Corporate Finance Finance [c] [c] [c] [c]
In post 2026 East (England) Corporate Finance Legal [c] [c] [c] [c]
In post 2026 East (England) Corporate Finance No function [c] [c] [c] [c]
In post 2026 East (England) Corporate Finance Unknown [c] [c] [c] [c]
In post 2026 East (England) Counter Fraud Counter Fraud 570 530 36360 35620
In post 2026 East (England) Counter Fraud Digital and Data 110 105 32190 31100
In post 2026 East (England) Cyber Digital and Data [c] [c] [c] [c]
In post 2026 East (England) Debt Debt [c] [c] [c] [c]
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_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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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.
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).