Civil Service Statistics data browser (2022)

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

Status Year Region_ITL3 Parent_department Region_london Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2022 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Outside London Scotland 140 135 46810 37990
In post 2022 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs Outside London Scotland 10 10 35120 36750
In post 2022 Aberdeen City and Aberdeenshire Department for Transport Outside London Scotland 80 75 33430 27930
In post 2022 Aberdeen City and Aberdeenshire Department for Work and Pensions Outside London Scotland 370 340 41440 27570
In post 2022 Aberdeen City and Aberdeenshire HM Revenue and Customs Outside London Scotland [c] [c] [c] [c]
In post 2022 Aberdeen City and Aberdeenshire Home Office Outside London Scotland 35 35 26660 25310
In post 2022 Aberdeen City and Aberdeenshire Ministry of Defence Outside London Scotland 100 95 39420 44070
In post 2022 Aberdeen City and Aberdeenshire Ministry of Justice Outside London Scotland 5 5 [c] [c]
In post 2022 Aberdeen City and Aberdeenshire Scottish Government Outside London Scotland 1190 1120 34480 31540
In post 2022 Angus and Dundee City Department for Environment, Food and Rural Affairs Outside London Scotland [c] [c] [c] [c]
In post 2022 Angus and Dundee City Department for Transport Outside London Scotland 5 5 [c] [c]
In post 2022 Angus and Dundee City Department for Work and Pensions Outside London Scotland 890 810 24140 21260
In post 2022 Angus and Dundee City HM Revenue and Customs Outside London Scotland 25 25 28560 24450
In post 2022 Angus and Dundee City Ministry of Defence Outside London Scotland 45 45 23960 21380
In post 2022 Angus and Dundee City Ministry of Justice Outside London Scotland 5 5 [c] [c]
In post 2022 Angus and Dundee City Scottish Government Outside London Scotland 1110 1060 29970 27230
In post 2022 Antrim and Newtownabbey Department for Business, Energy and Industrial Strategy Outside London Northern Ireland 20 20 35040 33130
In post 2022 Antrim and Newtownabbey Food Standards Agency Outside London Northern Ireland 10 10 [c] [c]
In post 2022 Antrim and Newtownabbey Home Office Outside London Northern Ireland 5 5 [c] [c]
In post 2022 Antrim and Newtownabbey Ministry of Defence Outside London Northern Ireland 175 170 24350 20560
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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 2023-02-15, with GIT 71a76ea.

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.
Five 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, Defence Electronics and Components Agency, 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.
Organisation specific notes on status: In late June 2021 around 7,000 employees from Community Rehabilitation Companies were transferred in from the private sector to HM Prison and Probation Service, counting as entrants. HM Land Registry do not record where their departing employees transfer to and so are unable to identify those that transfer to another Civil Service department.
Year Year of data collection (as at 31 March).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
On 30 September 2021, the Ministry for Housing, Communities and Local Government changed its name to the Department for Levelling Up, Housing and Communities.
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_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).