Civil Service Statistics data browser (2022)

Data preview: All civil servants / Parent_department / Region_ITL2 / Function_of_post / Region_ITL1

Status Year Parent_department Region_ITL2 Function_of_post Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2022 Attorney General’s Departments Bedfordshire and Hertfordshire Digital, Data & Technology East of England [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Bedfordshire and Hertfordshire Legal East of England 180 160 43500 40000
In post 2022 Attorney General’s Departments Berkshire, Buckinghamshire and Oxfordshire Communications South East (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Berkshire, Buckinghamshire and Oxfordshire Digital, Data & Technology South East (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Berkshire, Buckinghamshire and Oxfordshire Human Resources South East (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Berkshire, Buckinghamshire and Oxfordshire Legal South East (England) 125 115 42950 40000
In post 2022 Attorney General’s Departments Berkshire, Buckinghamshire and Oxfordshire Property South East (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Berkshire, Buckinghamshire and Oxfordshire Unknown South East (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cheshire Legal North West (England) 25 25 51330 55610
In post 2022 Attorney General’s Departments Cheshire Property North West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cheshire Unknown North West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cornwall and Isles of Scilly Legal South West (England) 30 25 38460 34480
In post 2022 Attorney General’s Departments Cornwall and Isles of Scilly Security South West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cumbria Digital, Data & Technology North West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cumbria Human Resources North West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cumbria Legal North West (England) 35 30 37810 31460
In post 2022 Attorney General’s Departments Cumbria Security North West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Cumbria Unknown North West (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Derbyshire and Nottinghamshire Commercial East Midlands (England) [c] [c] [c] [c]
In post 2022 Attorney General’s Departments Derbyshire and Nottinghamshire Digital, Data & Technology East Midlands (England) [c] [c] [c] [c]
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 2023-02-15, 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_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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Home Office, 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).