Civil Service Statistics data browser (2022)

Data preview: All civil servants / Function_of_post / Region_ITL1

Explore further: Parent_department, Organisation, Responsibility_level_grouped, Responsibility_level_ungrouped, Region_london, Region_ITL2, Region_ITL3, Profession_of_post, Sex, Ethnicity, Disability, Sexual_orientation, Age

Status Year Function_of_post Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2022 Analysis East Midlands (England) 75 70 38180 33840
In post 2022 Analysis East of England 375 360 35590 33370
In post 2022 Analysis London 3755 3640 49680 45870
In post 2022 Analysis North East (England) 185 180 39500 36010
In post 2022 Analysis North West (England) 480 460 39620 35900
In post 2022 Analysis Northern Ireland [c] [c] [c] [c]
In post 2022 Analysis Overseas [c] [c] [c] [c]
In post 2022 Analysis Scotland 145 145 43730 38150
In post 2022 Analysis South East (England) 995 950 39460 38070
In post 2022 Analysis South West (England) 510 490 37180 35900
In post 2022 Analysis Unknown 15 15 45490 43280
In post 2022 Analysis Wales 1310 1255 37320 36840
In post 2022 Analysis West Midlands (England) 105 105 39200 37450
In post 2022 Analysis Yorkshire and The Humber 495 470 42010 37380
In post 2022 Commercial East Midlands (England) 125 115 42560 38550
In post 2022 Commercial East of England 215 205 43480 38980
In post 2022 Commercial London 1860 1830 59180 54700
In post 2022 Commercial North East (England) 110 105 44020 36780
In post 2022 Commercial North West (England) 665 650 44950 39360
In post 2022 Commercial Northern Ireland 10 10 34000 33000
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 2023-02-14, 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).
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.
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).