Civil Service Statistics data browser (2026)

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

Status Year Region_london Sex Ethnicity Disability Headcount FTE Mean_salary Median_salary
In post 2026 London Female Asian Declared disabled 1300 1180 44550 39250
In post 2026 London Female Asian Declared non-disabled 7175 6640 46230 42540
In post 2026 London Female Asian Undeclared 520 490 48830 42490
In post 2026 London Female Asian Unknown 1260 1205 47650 43270
In post 2026 London Female Black Declared disabled 1415 1310 42040 37020
In post 2026 London Female Black Declared non-disabled 5340 5060 43010 37760
In post 2026 London Female Black Undeclared 340 320 42120 38320
In post 2026 London Female Black Unknown 685 665 44690 41480
In post 2026 London Female Mixed Declared disabled 460 435 47450 43770
In post 2026 London Female Mixed Declared non-disabled 1560 1480 51760 47140
In post 2026 London Female Mixed Undeclared 115 110 49260 41870
In post 2026 London Female Mixed Unknown 305 300 50760 46310
In post 2026 London Female Other ethnicity Declared disabled 160 150 47940 42930
In post 2026 London Female Other ethnicity Declared non-disabled 610 580 48230 42760
In post 2026 London Female Other ethnicity Undeclared 45 45 43840 41930
In post 2026 London Female Other ethnicity Unknown 135 130 52960 47190
In post 2026 London Female Undeclared Declared disabled 315 285 43790 37020
In post 2026 London Female Undeclared Declared non-disabled 945 860 46450 40800
In post 2026 London Female Undeclared Undeclared 620 585 50610 45430
In post 2026 London Female Undeclared Unknown 255 250 50490 44990
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).