Civil Service Statistics data browser (2026)

Data preview: All civil servants / Disability / Sex / 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, Ethnicity, Sexual_orientation, Age

Status Year Disability Sex Function_of_post Headcount FTE Mean_salary Median_salary
In post 2026 Declared disabled Female Analysis 970 895 48780 45550
In post 2026 Declared disabled Female Commercial 580 550 51230 47540
In post 2026 Declared disabled Female Communications 410 385 45230 42710
In post 2026 Declared disabled Female Counter Fraud 1655 1450 36420 32140
In post 2026 Declared disabled Female Debt 635 535 30690 28020
In post 2026 Declared disabled Female Digital and Data 1740 1645 49370 45540
In post 2026 Declared disabled Female Finance 700 645 46200 43160
In post 2026 Declared disabled Female Grants 220 200 33240 27870
In post 2026 Declared disabled Female Internal Audit 50 50 52910 49920
In post 2026 Declared disabled Female Legal 1165 1055 53000 56240
In post 2026 Declared disabled Female No function 32770 29075 36800 32140
In post 2026 Declared disabled Female People 1500 1395 46970 42740
In post 2026 Declared disabled Female Project Delivery 1545 1465 49460 45720
In post 2026 Declared disabled Female Property 485 455 42380 38620
In post 2026 Declared disabled Female Security 425 400 42770 38920
In post 2026 Declared disabled Female Unknown 2405 2235 47810 43930
In post 2026 Declared disabled Male Analysis 860 825 48650 45540
In post 2026 Declared disabled Male Commercial 375 370 54740 49520
In post 2026 Declared disabled Male Communications 200 195 44160 42080
In post 2026 Declared disabled Male Counter Fraud 1050 985 37160 32290
Note:
Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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.
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.
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).