Civil Service Statistics data browser (2026)

Data preview: All civil servants / Sex / Region_ITL2 / Function_of_post / Region_london

Status Year Sex Region_ITL2 Function_of_post Region_london Headcount FTE Mean_salary Median_salary
In post 2026 Female Bedfordshire and Hertfordshire Analysis Outside London 10 10 [c] [c]
In post 2026 Female Bedfordshire and Hertfordshire Commercial Outside London 15 15 [c] [c]
In post 2026 Female Bedfordshire and Hertfordshire Communications Outside London 10 10 [c] [c]
In post 2026 Female Bedfordshire and Hertfordshire Counter Fraud Outside London 85 75 35890 35620
In post 2026 Female Bedfordshire and Hertfordshire Debt Outside London [c] [c] [c] [c]
In post 2026 Female Bedfordshire and Hertfordshire Digital and Data Outside London 65 65 46170 41590
In post 2026 Female Bedfordshire and Hertfordshire Finance Outside London 45 45 56880 55710
In post 2026 Female Bedfordshire and Hertfordshire Grants Outside London [c] [c] [c] [c]
In post 2026 Female Bedfordshire and Hertfordshire Legal Outside London 145 130 45610 34280
In post 2026 Female Bedfordshire and Hertfordshire No function Outside London 2130 1940 38940 35620
In post 2026 Female Bedfordshire and Hertfordshire People Outside London 60 55 45470 43900
In post 2026 Female Bedfordshire and Hertfordshire Project Delivery Outside London 105 100 51640 48560
In post 2026 Female Bedfordshire and Hertfordshire Property Outside London 25 20 [c] [c]
In post 2026 Female Bedfordshire and Hertfordshire Security Outside London 50 50 41530 38000
In post 2026 Female Bedfordshire and Hertfordshire Unknown Outside London 20 20 [c] [c]
In post 2026 Female Berkshire, Buckinghamshire and Oxfordshire Analysis Outside London 25 20 [c] [c]
In post 2026 Female Berkshire, Buckinghamshire and Oxfordshire Commercial Outside London 95 90 48480 44610
In post 2026 Female Berkshire, Buckinghamshire and Oxfordshire Communications Outside London 60 55 43160 40640
In post 2026 Female Berkshire, Buckinghamshire and Oxfordshire Counter Fraud Outside London 135 120 35410 35620
In post 2026 Female Berkshire, Buckinghamshire and Oxfordshire Debt Outside London 10 10 [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_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.
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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Figures on sex presented here are based on management information provided by departments, which records the ‘legal sex’ of civil servants. ‘Legal sex’ does not align with ‘sex’ as defined by The Equality Act 2010.
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).