Civil Service Statistics data browser (2023)

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

Status Year Region_ITL3 Function_of_post Region_ITL2 Parent_department Headcount FTE Mean_salary Median_salary
In post 2023 Aberdeen City and Aberdeenshire Commercial North Eastern Scotland Department for Business, Energy and Industrial Strategy [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Commercial North Eastern Scotland Department of Health and Social Care [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Commercial North Eastern Scotland Scottish Government [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Communications North Eastern Scotland Food Standards Agency [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Counter Fraud North Eastern Scotland Department for Work and Pensions 15 15 29300 28120
In post 2023 Aberdeen City and Aberdeenshire Digital, Data & Technology North Eastern Scotland Department for Business, Energy and Industrial Strategy 30 25 36840 37420
In post 2023 Aberdeen City and Aberdeenshire Digital, Data & Technology North Eastern Scotland Department for Transport [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Digital, Data & Technology North Eastern Scotland Department for Work and Pensions [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Finance North Eastern Scotland Ministry of Defence [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Finance North Eastern Scotland Ministry of Justice [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Finance North Eastern Scotland Scottish Government [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Human Resources North Eastern Scotland Department for Business, Energy and Industrial Strategy [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Human Resources North Eastern Scotland Scottish Government [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Internal Audit North Eastern Scotland Department for Transport [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Legal North Eastern Scotland Department of Health and Social Care [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Legal North Eastern Scotland Scottish Government 35 30 59420 55990
In post 2023 Aberdeen City and Aberdeenshire No function North Eastern Scotland Department for Business, Energy and Industrial Strategy 100 95 52910 50680
In post 2023 Aberdeen City and Aberdeenshire No function North Eastern Scotland Department for Environment, Food and Rural Affairs 15 15 33490 37300
In post 2023 Aberdeen City and Aberdeenshire No function North Eastern Scotland Department for Transport 75 75 31900 28590
In post 2023 Aberdeen City and Aberdeenshire No function North Eastern Scotland Department for Work and Pensions 320 285 43250 28120
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 2023-07-26, 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.
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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Welsh Government and Royal Fleet Auxiliary did not report any functions information for their employees.
Of the 20 bodies under the Scottish Government, 16 did not report any functions information for their employees.
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).