Civil Service Statistics data browser (2026)

Data preview: All civil servants / Ethnicity / Region_london / Sex / Organisation

Status Year Ethnicity Region_london Sex Organisation Headcount FTE Mean_salary Median_salary
In post 2026 Asian London Female Active Travel England [c] [c] [c] [c]
In post 2026 Asian London Female Advisory, Conciliation and Arbitration Service 10 10 [c] [c]
In post 2026 Asian London Female Animal and Plant Health Agency 15 15 [c] [c]
In post 2026 Asian London Female Attorney General’s Office [c] [c] [c] [c]
In post 2026 Asian London Female Building Digital UK 15 15 [c] [c]
In post 2026 Asian London Female Cabinet Office (excl. agencies) 180 175 52730 48520
In post 2026 Asian London Female Central Civil Service Fast Stream 110 110 35370 35000
In post 2026 Asian London Female Charity Commission [c] [c] [c] [c]
In post 2026 Asian London Female Companies House [c] [c] [c] [c]
In post 2026 Asian London Female Competition and Markets Authority 65 65 57170 50160
In post 2026 Asian London Female Crown Commercial Service [c] [c] [c] [c]
In post 2026 Asian London Female Crown Prosecution Service 265 245 48360 39890
In post 2026 Asian London Female Defence Equipment and Support 10 10 [c] [c]
In post 2026 Asian London Female Defence Science and Technology Laboratory [c] [c] [c] [c]
In post 2026 Asian London Female Department for Business and Trade (excl. agencies) 245 240 54340 48160
In post 2026 Asian London Female Department for Culture, Media and Sport 40 40 57360 59230
In post 2026 Asian London Female Department for Education (excl. agencies) 215 205 52330 47590
In post 2026 Asian London Female Department for Energy Security and Net Zero 200 190 56870 51530
In post 2026 Asian London Female Department for Environment, Food and Rural Affairs (excl. agencies) 140 135 47970 46060
In post 2026 Asian London Female Department for Science, Innovation and Technology (excl. agencies) 140 140 58190 58040
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).
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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".
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.
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.
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).