Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL3 / Organisation / Parent_department / Region_ITL2

Status Year Region_ITL3 Organisation Parent_department Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2023 Aberdeen City and Aberdeenshire Animal and Plant Health Agency Department for Environment, Food and Rural Affairs North Eastern Scotland 15 15 33220 32070
In post 2023 Aberdeen City and Aberdeenshire Crown Office and Procurator Fiscal Service Scottish Government North Eastern Scotland 130 120 36590 31540
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy (excl. agencies) Department for Business, Energy and Industrial Strategy North Eastern Scotland 100 95 52910 50680
In post 2023 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs (excl. agencies) Department for Environment, Food and Rural Affairs North Eastern Scotland [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Work and Pensions (excl. agencies) Department for Work and Pensions North Eastern Scotland 240 210 27330 28120
In post 2023 Aberdeen City and Aberdeenshire Driver and Vehicle Licensing Agency Department for Transport North Eastern Scotland [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Driver and Vehicle Standards Agency Department for Transport North Eastern Scotland 25 20 28320 27450
In post 2023 Aberdeen City and Aberdeenshire Education Scotland Scottish Government North Eastern Scotland 15 15 63170 70730
In post 2023 Aberdeen City and Aberdeenshire Food Standards Agency Food Standards Agency North Eastern Scotland [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Food Standards Scotland Scottish Government North Eastern Scotland 195 190 40210 36330
In post 2023 Aberdeen City and Aberdeenshire Forestry and Land Scotland Scottish Government North Eastern Scotland 75 75 32640 31180
In post 2023 Aberdeen City and Aberdeenshire HM Courts and Tribunals Service Ministry of Justice North Eastern Scotland [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Health and Safety Executive Department for Work and Pensions North Eastern Scotland 100 95 78240 89450
In post 2023 Aberdeen City and Aberdeenshire Home Office Home Office North Eastern Scotland 35 35 27360 25980
In post 2023 Aberdeen City and Aberdeenshire Maritime and Coastguard Agency Department for Transport North Eastern Scotland 55 50 34060 31660
In post 2023 Aberdeen City and Aberdeenshire Medicines and Healthcare Products Regulatory Agency Department of Health and Social Care North Eastern Scotland [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Met Office Department for Business, Energy and Industrial Strategy North Eastern Scotland 35 30 37200 37420
In post 2023 Aberdeen City and Aberdeenshire Ministry of Defence (excl. agencies) Ministry of Defence North Eastern Scotland 95 95 42790 45880
In post 2023 Aberdeen City and Aberdeenshire Ministry of Justice (excl. agencies) Ministry of Justice North Eastern Scotland [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Scottish Courts and Tribunals Service Scottish Government North Eastern Scotland 80 70 26610 25060
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 2023-07-29, 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).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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).