Civil Service Statistics data browser (2026)

Data preview: All civil servants / Ethnicity / Sexual_orientation / Parent_department

Explore further: Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL1, Region_ITL2, Region_ITL3, Profession_of_post, Function_of_post, Sex, Disability, Age

Status Year Ethnicity Sexual_orientation Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 Asian Heterosexual / straight Attorney General’s Departments 1060 1005 51700 55980
In post 2026 Asian Heterosexual / straight Cabinet Office 500 490 52930 48200
In post 2026 Asian Heterosexual / straight Chancellor’s other departments 55 55 56190 49180
In post 2026 Asian Heterosexual / straight Charity Commission 10 10 [c] [c]
In post 2026 Asian Heterosexual / straight Competition and Markets Authority 115 115 57990 53350
In post 2026 Asian Heterosexual / straight Department for Business and Trade 830 805 46900 42820
In post 2026 Asian Heterosexual / straight Department for Culture, Media and Sport 70 70 52920 47770
In post 2026 Asian Heterosexual / straight Department for Education 835 810 48010 43290
In post 2026 Asian Heterosexual / straight Department for Energy Security and Net Zero 375 370 54900 49900
In post 2026 Asian Heterosexual / straight Department for Environment, Food and Rural Affairs 600 585 42520 39080
In post 2026 Asian Heterosexual / straight Department for Science, Innovation and Technology 425 420 52340 47290
In post 2026 Asian Heterosexual / straight Department for Transport 755 730 42640 35750
In post 2026 Asian Heterosexual / straight Department for Work and Pensions 10315 9520 34890 32140
In post 2026 Asian Heterosexual / straight Department of Health and Social Care 1165 1130 50470 46160
In post 2026 Asian Heterosexual / straight Estyn [c] [c] [c] [c]
In post 2026 Asian Heterosexual / straight Food Standards Agency 55 55 48100 44440
In post 2026 Asian Heterosexual / straight Foreign, Commonwealth and Development Office 490 480 51290 45230
In post 2026 Asian Heterosexual / straight HM Land Registry 170 155 38330 32120
In post 2026 Asian Heterosexual / straight HM Revenue and Customs 6415 6115 39210 35550
In post 2026 Asian Heterosexual / straight HM Treasury 205 200 55340 54000
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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
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.
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).