Civil Service Statistics data browser (2022)

Data preview: All civil servants / Sex / Profession_of_post / Region_ITL3 / Organisation

Status Year Sex Profession_of_post Region_ITL3 Organisation Headcount FTE Mean_salary Median_salary
In post 2022 Female Commercial Aberdeen City and Aberdeenshire Met Office [c] [c] [c] [c]
In post 2022 Female Commercial Aberdeen City and Aberdeenshire Scottish Prison Service [c] [c] [c] [c]
In post 2022 Female Commercial Angus and Dundee City Department for Work and Pensions (excl. agencies) [c] [c] [c] [c]
In post 2022 Female Commercial Antrim and Newtownabbey Met Office [c] [c] [c] [c]
In post 2022 Female Commercial Barking & Dagenham and Havering Department for Work and Pensions (excl. agencies) [c] [c] [c] [c]
In post 2022 Female Commercial Barnet HM Prison and Probation Service [c] [c] [c] [c]
In post 2022 Female Commercial Barnet UK Health Security Agency 5 5 [c] [c]
In post 2022 Female Commercial Barnsley, Doncaster and Rotherham Department for Work and Pensions (excl. agencies) [c] [c] [c] [c]
In post 2022 Female Commercial Barnsley, Doncaster and Rotherham HM Prison and Probation Service 10 10 [c] [c]
In post 2022 Female Commercial Bath and North East Somerset, North Somerset and South Gloucestershire Defence Equipment and Support 430 405 37630 34130
In post 2022 Female Commercial Bath and North East Somerset, North Somerset and South Gloucestershire HM Prison and Probation Service [c] [c] [c] [c]
In post 2022 Female Commercial Bath and North East Somerset, North Somerset and South Gloucestershire Home Office [c] [c] [c] [c]
In post 2022 Female Commercial Bath and North East Somerset, North Somerset and South Gloucestershire Ministry of Defence (excl. agencies) 130 120 37580 34800
In post 2022 Female Commercial Bath and North East Somerset, North Somerset and South Gloucestershire Submarine Delivery Agency 55 55 38660 37400
In post 2022 Female Commercial Bedford HM Prison and Probation Service [c] [c] [c] [c]
In post 2022 Female Commercial Belfast UK Health Security Agency [c] [c] [c] [c]
In post 2022 Female Commercial Berkshire Department for Environment, Food and Rural Affairs (excl. agencies) 5 5 [c] [c]
In post 2022 Female Commercial Berkshire Department of Health and Social Care (excl. agencies) [c] [c] [c] [c]
In post 2022 Female Commercial Berkshire Ministry of Defence (excl. agencies) [c] [c] [c] [c]
In post 2022 Female Commercial Bexley and Greenwich HM Prison and Probation Service [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).
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
On 30 September 2021, the Ministry for Housing, Communities and Local Government changed it’s name to the Department for Levelling Up, Housing and Communities.
On 1 October 2021, Public Health England was dissolved and its staff were transferred into either the newly created UK Health Security Agency, the NHS or the Department for Health and Social Care (excl. agencies). In addition to this the DHSC have been offboarding Test and Trace staff as well as onboarding the former PHE staff onto their system and so caution should be advised when interpretting data at DHSC as they are currently undertaking data cleansing exercises. PHE only includes entrants and leavers up to 30 September 2021 and UKHSA only inlcudes entrants and leavers from 1 October to 31 March 2022.
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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Cabinet Office (excl agencies) reported profession information for only 60 out of a total 9,930 employees.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Sex Self reported sex.
“Unknown” accounts for employees who were recorded with an unknown sex.
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).