Civil Service Statistics data browser (2026)

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

Status Year Region_ITL3 Sex Region_london Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2026 Aberdeen City and Aberdeenshire Female Outside London North Eastern Scotland 970 880 42330 37110
In post 2026 Aberdeen City and Aberdeenshire Male Outside London North Eastern Scotland 900 865 47180 39800
In post 2026 Angus and Dundee City Female Outside London Eastern Scotland 1735 1615 36260 32430
In post 2026 Angus and Dundee City Male Outside London Eastern Scotland 1160 1130 36010 32140
In post 2026 Antrim and Newtownabbey Female Outside London Northern Ireland 50 45 39230 37430
In post 2026 Antrim and Newtownabbey Male Outside London Northern Ireland 130 125 33460 28400
In post 2026 Ards and North Down Female Outside London Northern Ireland 80 75 44650 33240
In post 2026 Ards and North Down Male Outside London Northern Ireland 150 145 34520 28400
In post 2026 Armagh City, Banbridge and Craigavon Female Outside London Northern Ireland 20 20 [c] [c]
In post 2026 Armagh City, Banbridge and Craigavon Male Outside London Northern Ireland 15 15 [c] [c]
In post 2026 Babergh and Mid Suffolk Female Outside London Suffolk 105 95 40210 32140
In post 2026 Babergh and Mid Suffolk Male Outside London Suffolk 90 85 41450 37530
In post 2026 Barking & Dagenham and Havering Female London Outer London - East and North East 475 415 38450 37020
In post 2026 Barking & Dagenham and Havering Male London Outer London - East and North East 270 260 39640 37020
In post 2026 Barnet Female London Outer London - West and North West 1075 995 47890 39380
In post 2026 Barnet Male London Outer London - West and North West 650 630 50290 42540
In post 2026 Barnsley Female Outside London South Yorkshire 595 490 32960 30580
In post 2026 Barnsley Male Outside London South Yorkshire 220 210 33940 32140
In post 2026 Bath & North East Somerset and South Gloucestershire Female Outside London West of England 5640 5210 45590 42270
In post 2026 Bath & North East Somerset and South Gloucestershire Male Outside London West of England 7665 7485 50090 47070
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.
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.
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).