Civil Service Statistics data browser (2026)

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

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Sexual_orientation, Age

Status Year Ethnicity Disability Function_of_post Headcount FTE Mean_salary Median_salary
In post 2026 Asian Declared disabled Analysis 100 100 47940 45700
In post 2026 Asian Declared disabled Commercial 60 55 50530 46750
In post 2026 Asian Declared disabled Communications 30 30 [c] [c]
In post 2026 Asian Declared disabled Counter Fraud 240 220 36000 32800
In post 2026 Asian Declared disabled Debt 90 75 30050 28020
In post 2026 Asian Declared disabled Digital and Data 265 265 51060 46060
In post 2026 Asian Declared disabled Finance 100 95 47530 44450
In post 2026 Asian Declared disabled Grants 15 10 [c] [c]
In post 2026 Asian Declared disabled Internal Audit 5 5 [c] [c]
In post 2026 Asian Declared disabled Legal 170 160 52450 55980
In post 2026 Asian Declared disabled No function 3820 3480 36740 32140
In post 2026 Asian Declared disabled People 145 140 46530 44360
In post 2026 Asian Declared disabled Project Delivery 160 160 49700 46710
In post 2026 Asian Declared disabled Property 40 35 44500 39620
In post 2026 Asian Declared disabled Security 55 55 44300 43360
In post 2026 Asian Declared disabled Unknown 115 115 43990 41830
In post 2026 Asian Declared non-disabled Analysis 955 930 48520 44640
In post 2026 Asian Declared non-disabled Commercial 330 325 54090 47290
In post 2026 Asian Declared non-disabled Communications 175 175 45970 44010
In post 2026 Asian Declared non-disabled Counter Fraud 1375 1285 37130 35620
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).
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).