Civil Service Statistics data browser (2023)

Data preview: All civil servants / Function_of_post / Ethnicity / Region_ITL2 / Profession_of_post

Status Year Function_of_post Ethnicity Region_ITL2 Profession_of_post Headcount FTE Mean_salary Median_salary
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Economics [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Intelligence Analysis [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Knowledge and Information Management [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Operational Delivery [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Operational Research [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Other [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Science and Engineering [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Social Research [c] [c] [c] [c]
In post 2023 Analysis Asian Bedfordshire and Hertfordshire Statistics [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Economics [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Intelligence Analysis [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Operational Delivery [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Operational Research [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Project Delivery [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Social Research [c] [c] [c] [c]
In post 2023 Analysis Asian Berkshire, Buckinghamshire and Oxfordshire Statistics [c] [c] [c] [c]
In post 2023 Analysis Asian Cheshire Operational Delivery [c] [c] [c] [c]
In post 2023 Analysis Asian Cheshire Statistics [c] [c] [c] [c]
In post 2023 Analysis Asian Cornwall and Isles of Scilly Knowledge and Information Management [c] [c] [c] [c]
In post 2023 Analysis Asian Cornwall and Isles of Scilly Project Delivery [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 2023-07-28, 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).
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.
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.
Profession_of_post Professions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
Of the 20 bodies under the Scottish Government, 16 did not report any professions information for their employees.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).