Civil Service Statistics data browser (2026)

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Data preview: All civil servants / Region_ITL3 / Sex / Disability / Region_ITL2

Status Year Region_ITL3 Sex Disability Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2026 Aberdeen City and Aberdeenshire Female Declared disabled North Eastern Scotland 120 110 41320 37110
In post 2026 Aberdeen City and Aberdeenshire Female Declared non-disabled North Eastern Scotland 570 515 43410 37110
In post 2026 Aberdeen City and Aberdeenshire Female Undeclared North Eastern Scotland 40 35 44790 38010
In post 2026 Aberdeen City and Aberdeenshire Female Unknown North Eastern Scotland 240 225 39880 36610
In post 2026 Aberdeen City and Aberdeenshire Male Declared disabled North Eastern Scotland 75 70 43680 38770
In post 2026 Aberdeen City and Aberdeenshire Male Declared non-disabled North Eastern Scotland 525 505 50450 42170
In post 2026 Aberdeen City and Aberdeenshire Male Undeclared North Eastern Scotland 35 35 51170 39480
In post 2026 Aberdeen City and Aberdeenshire Male Unknown North Eastern Scotland 265 255 41190 37940
In post 2026 Aberdeen City and Aberdeenshire Unknown Declared disabled North Eastern Scotland [c] [c] [c] [c]
In post 2026 Aberdeen City and Aberdeenshire Unknown Declared non-disabled North Eastern Scotland [c] [c] [c] [c]
In post 2026 Angus and Dundee City Female Declared disabled Eastern Scotland 350 320 35250 32140
In post 2026 Angus and Dundee City Female Declared non-disabled Eastern Scotland 955 890 37060 32430
In post 2026 Angus and Dundee City Female Undeclared Eastern Scotland 75 70 36250 33750
In post 2026 Angus and Dundee City Female Unknown Eastern Scotland 360 340 35140 33750
In post 2026 Angus and Dundee City Male Declared disabled Eastern Scotland 190 185 33970 29260
In post 2026 Angus and Dundee City Male Declared non-disabled Eastern Scotland 660 650 36490 32140
In post 2026 Angus and Dundee City Male Undeclared Eastern Scotland 50 50 36430 32140
In post 2026 Angus and Dundee City Male Unknown Eastern Scotland 255 250 36210 34890
In post 2026 Angus and Dundee City Unknown Declared disabled Eastern Scotland [c] [c] [c] [c]
In post 2026 Angus and Dundee City Unknown Declared non-disabled Eastern Scotland [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_ITL2 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 2 divides into Northern Ireland, counties in England (most grouped), groups of districts in Greater London, groups of unitary authorities in Wales, groups of council areas in Scotland.
Region_ITL3 Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Following the UK’s withdrawal from the EU, a new UK-managed international statistical geography - International Territorial Levels (ITL) - was introduced from 1st January 2021, replacing the former NUTS classification. They align with international standards, enabling comparability both over time and internationally. To ensure continued alignment, the ITLs mirror the NUTS system. They also follow a similar review timetable - every three years.
ITL 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
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).