Civil Service Statistics data browser (2023)

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

Status Year Region_ITL3 Parent_department Organisation Responsibility_level_grouped Headcount FTE Mean_salary Median_salary
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Department for Business, Energy and Industrial Strategy (excl. agencies) AA/AO [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Department for Business, Energy and Industrial Strategy (excl. agencies) EO 10 10 26100 25500
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Department for Business, Energy and Industrial Strategy (excl. agencies) G6/G7 20 20 62670 54870
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Department for Business, Energy and Industrial Strategy (excl. agencies) SCS level [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Department for Business, Energy and Industrial Strategy (excl. agencies) SEO/HEO 65 60 56360 69490
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Met Office G6/G7 [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Business, Energy and Industrial Strategy Met Office SEO/HEO 30 30 36330 37420
In post 2023 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs Animal and Plant Health Agency AA/AO [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs Animal and Plant Health Agency EO 5 5 [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs Animal and Plant Health Agency G6/G7 [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs Animal and Plant Health Agency SEO/HEO 5 5 [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Environment, Food and Rural Affairs Department for Environment, Food and Rural Affairs (excl. agencies) SEO/HEO [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Driver and Vehicle Licensing Agency AA/AO [c] [c] [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Driver and Vehicle Standards Agency AA/AO 5 5 [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Driver and Vehicle Standards Agency EO 20 15 28300 27450
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Maritime and Coastguard Agency AA/AO 15 15 22500 22500
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Maritime and Coastguard Agency EO 5 5 [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Maritime and Coastguard Agency G6/G7 5 5 [c] [c]
In post 2023 Aberdeen City and Aberdeenshire Department for Transport Maritime and Coastguard Agency SEO/HEO 25 25 38310 39820
In post 2023 Aberdeen City and Aberdeenshire Department for Work and Pensions Department for Work and Pensions (excl. agencies) AA/AO 60 45 21610 21690
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

Download the data

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.
Responsibility_level_grouped With the exception of the centrally managed Senior Civil Service, government departments have delegated pay and grading. For statistical purposes departments are asked to map their grades to a common framework by responsibility level.
This table shows staff in their substantive responsibility level unless on temporary promotion in which case staff are recorded at the higher responsibility level.
Responsibility_level_grouped combines the mapped grades into five broad responsibility levels. This is the headline measure for responsibility level for the Civil Service and is consistent with the published National Statistics.
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).