Civil Service Statistics data browser (2026)

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

Status Year Ethnicity Sex Region_london Disability Headcount FTE Mean_salary Median_salary
In post 2026 Asian Female London Declared disabled 1300 1180 44550 39250
In post 2026 Asian Female London Declared non-disabled 7175 6640 46230 42540
In post 2026 Asian Female London Undeclared 520 490 48830 42490
In post 2026 Asian Female London Unknown 1260 1205 47650 43270
In post 2026 Asian Female Outside London Declared disabled 1820 1615 35130 32140
In post 2026 Asian Female Outside London Declared non-disabled 10920 9895 35580 32140
In post 2026 Asian Female Outside London Undeclared 605 535 36510 32140
In post 2026 Asian Female Outside London Unknown 1455 1360 38050 32480
In post 2026 Asian Female Overseas Declared disabled [c] [c] [c] [c]
In post 2026 Asian Female Overseas Declared non-disabled 60 60 53620 41930
In post 2026 Asian Female Overseas Undeclared [c] [c] [c] [c]
In post 2026 Asian Female Overseas Unknown 35 35 61610 63680
In post 2026 Asian Female Unknown Declared disabled 5 5 [c] [c]
In post 2026 Asian Female Unknown Declared non-disabled 15 15 [c] [c]
In post 2026 Asian Female Unknown Undeclared [c] [c] [c] [c]
In post 2026 Asian Female Unknown Unknown [c] [c] [c] [c]
In post 2026 Asian Male London Declared disabled 805 775 45510 40970
In post 2026 Asian Male London Declared non-disabled 5300 5190 47990 44130
In post 2026 Asian Male London Undeclared 355 345 49330 43240
In post 2026 Asian Male London Unknown 900 885 48010 44700
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).
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.
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).