Civil Service Statistics data browser (2026)

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

Status Year Region_london Responsibility_level_grouped Ethnicity Function_of_post Headcount FTE Mean_salary Median_salary
In post 2026 London AA/AO Asian Analysis 20 20 [c] [c]
In post 2026 London AA/AO Asian Commercial [c] [c] [c] [c]
In post 2026 London AA/AO Asian Communications 5 5 [c] [c]
In post 2026 London AA/AO Asian Counter Fraud 165 140 29460 29720
In post 2026 London AA/AO Asian Debt 180 155 31310 31470
In post 2026 London AA/AO Asian Digital and Data 15 15 [c] [c]
In post 2026 London AA/AO Asian Finance 15 10 [c] [c]
In post 2026 London AA/AO Asian Grants [c] [c] [c] [c]
In post 2026 London AA/AO Asian Legal 80 75 28810 28500
In post 2026 London AA/AO Asian No function 1835 1650 32300 31470
In post 2026 London AA/AO Asian People 15 15 [c] [c]
In post 2026 London AA/AO Asian Project Delivery [c] [c] [c] [c]
In post 2026 London AA/AO Asian Property 50 45 31780 31320
In post 2026 London AA/AO Asian Security 60 60 34280 31670
In post 2026 London AA/AO Asian Unknown 10 10 [c] [c]
In post 2026 London AA/AO Black Analysis [c] [c] [c] [c]
In post 2026 London AA/AO Black Commercial [c] [c] [c] [c]
In post 2026 London AA/AO Black Communications 10 10 [c] [c]
In post 2026 London AA/AO Black Counter Fraud 100 85 29820 29720
In post 2026 London AA/AO Black Debt 85 75 31450 31470
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).
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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.
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).