Civil Service Statistics data browser (2026)

Data preview: All civil servants / Disability / Region_london / Ethnicity / Function_of_post

Status Year Disability Region_london Ethnicity Function_of_post Headcount FTE Mean_salary Median_salary
In post 2026 Declared disabled London Asian Analysis 60 55 51660 48670
In post 2026 Declared disabled London Asian Commercial 30 30 [c] [c]
In post 2026 Declared disabled London Asian Communications 20 20 [c] [c]
In post 2026 Declared disabled London Asian Counter Fraud 95 85 38270 37020
In post 2026 Declared disabled London Asian Debt 15 10 [c] [c]
In post 2026 Declared disabled London Asian Digital and Data 130 130 55710 51410
In post 2026 Declared disabled London Asian Finance 50 45 51590 50020
In post 2026 Declared disabled London Asian Grants [c] [c] [c] [c]
In post 2026 Declared disabled London Asian Internal Audit [c] [c] [c] [c]
In post 2026 Declared disabled London Asian Legal 90 80 57710 62490
In post 2026 Declared disabled London Asian No function 1375 1260 42060 37020
In post 2026 Declared disabled London Asian People 80 75 50570 44700
In post 2026 Declared disabled London Asian Project Delivery 75 75 52700 49590
In post 2026 Declared disabled London Asian Property 20 20 [c] [c]
In post 2026 Declared disabled London Asian Security 30 30 46260 46110
In post 2026 Declared disabled London Asian Unknown 35 30 44220 40960
In post 2026 Declared disabled London Black Analysis 35 35 50610 44980
In post 2026 Declared disabled London Black Commercial 15 15 [c] [c]
In post 2026 Declared disabled London Black Communications 15 15 [c] [c]
In post 2026 Declared disabled London Black Counter Fraud 95 85 37860 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".
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.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).