Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL3 / Region_ITL1 / Region_london / Region_ITL2

Status Year Region_ITL3 Region_ITL1 Region_london Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2023 Aberdeen City and Aberdeenshire Scotland Outside London North Eastern Scotland 1910 1785 38500 32840
In post 2023 Angus and Dundee City Scotland Outside London Eastern Scotland 2530 2375 29260 28120
In post 2023 Antrim and Newtownabbey Northern Ireland Outside London Northern Ireland 215 210 27290 22970
In post 2023 Ards and North Down Northern Ireland Outside London Northern Ireland 225 220 27610 22500
In post 2023 Armagh City, Banbridge and Craigavon Northern Ireland Outside London Northern Ireland 20 20 34600 33020
In post 2023 Barking & Dagenham and Havering London London Outer London - East and North East 635 580 33220 32520
In post 2023 Barnet London London Outer London - West and North West 1685 1595 41710 34390
In post 2023 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Outside London South Yorkshire 3060 2750 29710 28120
In post 2023 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Outside London Gloucestershire, Wiltshire and Bath/Bristol area 13920 13330 40380 38790
In post 2023 Bedford East of England Outside London Bedfordshire and Hertfordshire 905 845 32230 30750
In post 2023 Belfast Northern Ireland Outside London Northern Ireland 3320 3125 32060 28130
In post 2023 Berkshire South East (England) Outside London Berkshire, Buckinghamshire and Oxfordshire 2845 2700 36220 32520
In post 2023 Bexley and Greenwich London London Outer London - East and North East 1745 1660 34320 32520
In post 2023 Birmingham West Midlands (England) Outside London West Midlands 13780 12920 33180 28130
In post 2023 Blackburn with Darwen North West (England) Outside London Lancashire 395 360 29230 28120
In post 2023 Blackpool North West (England) Outside London Lancashire 5495 5050 31680 28120
In post 2023 Bournemouth, Christchurch and Poole South West (England) Outside London Dorset and Somerset 770 700 29380 28010
In post 2023 Bradford Yorkshire and The Humber Outside London West Yorkshire 2795 2495 27190 23640
In post 2023 Breckland and South Norfolk East of England Outside London East Anglia 560 525 32280 29890
In post 2023 Brent London London Outer London - West and North West 555 510 33320 32520
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 2023-07-28, with GIT d545f65.

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.
Four organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, Scottish Forestry and Forest and Land Scotland. A further three organisations also could not provide entrants data in 2021. These are as follows: Department for International Development, Foreign and Commonwealth Office (excl. agencies) and Royal Fleet Auxiliary.
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_ITL1 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 1 divides into Wales, Scotland, Northern Ireland, and the 9 statistical regions of England.
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.
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).