Civil Service Statistics data browser (2026)

Data preview: All civil servants / Region_ITL3 / Ethnicity / Region_ITL2 / Region_london

Status Year Region_ITL3 Ethnicity Region_ITL2 Region_london Headcount FTE Mean_salary Median_salary
In post 2026 Aberdeen City and Aberdeenshire Asian North Eastern Scotland Outside London 45 40 49040 42670
In post 2026 Aberdeen City and Aberdeenshire Black North Eastern Scotland Outside London 55 50 39360 32140
In post 2026 Aberdeen City and Aberdeenshire Mixed North Eastern Scotland Outside London 10 10 [c] [c]
In post 2026 Aberdeen City and Aberdeenshire Other ethnicity North Eastern Scotland Outside London 5 5 [c] [c]
In post 2026 Aberdeen City and Aberdeenshire Undeclared North Eastern Scotland Outside London 65 60 48760 41830
In post 2026 Aberdeen City and Aberdeenshire Unknown North Eastern Scotland Outside London 375 355 40390 36610
In post 2026 Aberdeen City and Aberdeenshire White North Eastern Scotland Outside London 1315 1225 45670 39170
In post 2026 Angus and Dundee City Asian Eastern Scotland Outside London 80 80 36180 32140
In post 2026 Angus and Dundee City Black Eastern Scotland Outside London 110 110 30600 32140
In post 2026 Angus and Dundee City Mixed Eastern Scotland Outside London 30 30 34760 32950
In post 2026 Angus and Dundee City Other ethnicity Eastern Scotland Outside London 15 15 [c] [c]
In post 2026 Angus and Dundee City Undeclared Eastern Scotland Outside London 80 75 34880 32140
In post 2026 Angus and Dundee City Unknown Eastern Scotland Outside London 555 530 34940 33750
In post 2026 Angus and Dundee City White Eastern Scotland Outside London 2025 1910 36880 32430
In post 2026 Antrim and Newtownabbey Asian Northern Ireland Outside London [c] [c] [c] [c]
In post 2026 Antrim and Newtownabbey Black Northern Ireland Outside London [c] [c] [c] [c]
In post 2026 Antrim and Newtownabbey Mixed Northern Ireland Outside London [c] [c] [c] [c]
In post 2026 Antrim and Newtownabbey Other ethnicity Northern Ireland Outside London [c] [c] [c] [c]
In post 2026 Antrim and Newtownabbey Undeclared Northern Ireland Outside London 5 5 [c] [c]
In post 2026 Antrim and Newtownabbey Unknown Northern Ireland Outside London 20 15 [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".
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.
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).