Civil Service Statistics data browser (2026)

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

Status Year Region_london Function_of_post Sex Disability Headcount FTE Mean_salary Median_salary
In post 2026 London Analysis Female Declared disabled 305 285 56630 52690
In post 2026 London Analysis Female Declared non-disabled 1665 1580 60770 62100
In post 2026 London Analysis Female Undeclared 140 135 57540 52800
In post 2026 London Analysis Female Unknown 610 595 52680 50390
In post 2026 London Analysis Male Declared disabled 270 260 57200 53150
In post 2026 London Analysis Male Declared non-disabled 1960 1930 62100 62960
In post 2026 London Analysis Male Undeclared 150 150 60550 62390
In post 2026 London Analysis Male Unknown 875 870 52110 48520
In post 2026 London Analysis Unknown Declared disabled [c] [c] [c] [c]
In post 2026 London Analysis Unknown Declared non-disabled [c] [c] [c] [c]
In post 2026 London Commercial Female Declared disabled 115 110 62000 63170
In post 2026 London Commercial Female Declared non-disabled 575 560 66190 64160
In post 2026 London Commercial Female Undeclared 55 55 60720 62030
In post 2026 London Commercial Female Unknown 260 255 58070 51670
In post 2026 London Commercial Male Declared disabled 110 110 61320 62340
In post 2026 London Commercial Male Declared non-disabled 565 560 73460 65670
In post 2026 London Commercial Male Undeclared 65 65 74820 73060
In post 2026 London Commercial Male Unknown 265 265 66910 63540
In post 2026 London Commercial Unknown Declared disabled [c] [c] [c] [c]
In post 2026 London Commercial Unknown Declared non-disabled [c] [c] [c] [c]
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".
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 21 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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.
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.
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).