Civil Service Statistics data browser (2026)

Data preview: All civil servants / Sexual_orientation / Function_of_post / Sex

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 Function_of_post Sex Headcount FTE Mean_salary Median_salary
In post 2026 Heterosexual / straight Analysis Female 4690 4370 51850 48030
In post 2026 Heterosexual / straight Analysis Male 5295 5175 52590 48150
In post 2026 Heterosexual / straight Analysis Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Commercial Female 2980 2830 53140 47750
In post 2026 Heterosexual / straight Commercial Male 2320 2285 59180 50190
In post 2026 Heterosexual / straight Commercial Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Communications Female 2245 2115 48980 46020
In post 2026 Heterosexual / straight Communications Male 1240 1225 50790 47270
In post 2026 Heterosexual / straight Communications Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Counter Fraud Female 6580 5910 37580 35040
In post 2026 Heterosexual / straight Counter Fraud Male 5245 5030 39840 37240
In post 2026 Heterosexual / straight Counter Fraud Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Debt Female 2900 2480 31040 28020
In post 2026 Heterosexual / straight Debt Male 1830 1750 31020 28020
In post 2026 Heterosexual / straight Debt Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Digital and Data Female 8670 8240 50910 46880
In post 2026 Heterosexual / straight Digital and Data Male 13125 12920 53330 49210
In post 2026 Heterosexual / straight Digital and Data Unknown [c] [c] [c] [c]
In post 2026 Heterosexual / straight Finance Female 4010 3750 49190 45330
In post 2026 Heterosexual / straight Finance Male 3145 3075 52910 48240
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).