Civil Service Statistics data browser (2026)

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

Status Year Sexual_orientation Sex Function_of_post Headcount FTE Mean_salary Median_salary
In post 2026 Heterosexual / straight Female Analysis 4690 4370 51850 48030
In post 2026 Heterosexual / straight Female Commercial 2980 2830 53140 47750
In post 2026 Heterosexual / straight Female Communications 2245 2115 48980 46020
In post 2026 Heterosexual / straight Female Counter Fraud 6580 5910 37580 35040
In post 2026 Heterosexual / straight Female Debt 2900 2480 31040 28020
In post 2026 Heterosexual / straight Female Digital and Data 8670 8240 50910 46880
In post 2026 Heterosexual / straight Female Finance 4010 3750 49190 45330
In post 2026 Heterosexual / straight Female Grants 970 870 34710 29990
In post 2026 Heterosexual / straight Female Internal Audit 265 245 54660 50740
In post 2026 Heterosexual / straight Female Legal 6170 5675 56360 60010
In post 2026 Heterosexual / straight Female No function 144780 130950 38810 33280
In post 2026 Heterosexual / straight Female People 6480 6045 47100 43130
In post 2026 Heterosexual / straight Female Project Delivery 7255 6880 51930 47050
In post 2026 Heterosexual / straight Female Property 2950 2775 44200 39130
In post 2026 Heterosexual / straight Female Security 2185 2075 44160 39890
In post 2026 Heterosexual / straight Female Unknown 11520 10770 50480 45380
In post 2026 Heterosexual / straight Male Analysis 5295 5175 52590 48150
In post 2026 Heterosexual / straight Male Commercial 2320 2285 59180 50190
In post 2026 Heterosexual / straight Male Communications 1240 1225 50790 47270
In post 2026 Heterosexual / straight Male Counter Fraud 5245 5030 39840 37240
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.
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.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
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).