Civil Service Statistics data browser (2026)

Data preview: All civil servants / Disability / Ethnicity / Region_london / Parent_department

Status Year Disability Ethnicity Region_london Parent_department Headcount FTE Mean_salary Median_salary
In post 2026 Declared disabled Asian London Attorney General’s Departments 85 80 55490 61750
In post 2026 Declared disabled Asian London Cabinet Office 85 85 49940 43480
In post 2026 Declared disabled Asian London Chancellor’s other departments 5 5 [c] [c]
In post 2026 Declared disabled Asian London Charity Commission [c] [c] [c] [c]
In post 2026 Declared disabled Asian London Competition and Markets Authority 15 15 [c] [c]
In post 2026 Declared disabled Asian London Department for Business and Trade 45 45 50660 43740
In post 2026 Declared disabled Asian London Department for Culture, Media and Sport 5 5 [c] [c]
In post 2026 Declared disabled Asian London Department for Education 35 35 53800 48390
In post 2026 Declared disabled Asian London Department for Energy Security and Net Zero 35 35 57290 49900
In post 2026 Declared disabled Asian London Department for Environment, Food and Rural Affairs 40 40 47470 46600
In post 2026 Declared disabled Asian London Department for Science, Innovation and Technology 30 30 [c] [c]
In post 2026 Declared disabled Asian London Department for Transport 25 25 [c] [c]
In post 2026 Declared disabled Asian London Department for Work and Pensions 575 510 38320 37020
In post 2026 Declared disabled Asian London Department of Health and Social Care 70 70 49380 46310
In post 2026 Declared disabled Asian London Food Standards Agency [c] [c] [c] [c]
In post 2026 Declared disabled Asian London Foreign, Commonwealth and Development Office 40 40 49130 43890
In post 2026 Declared disabled Asian London HM Land Registry [c] [c] [c] [c]
In post 2026 Declared disabled Asian London HM Revenue and Customs 185 175 46450 42750
In post 2026 Declared disabled Asian London HM Treasury 15 15 [c] [c]
In post 2026 Declared disabled Asian London Home Office 425 390 45710 43130
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.
Region_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
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).