Civil Service Statistics data browser (2022)

Data preview: All civil servants / Responsibility_level_grouped / Region_london / Region_ITL2 / Region_ITL1

Status Year Responsibility_level_grouped Region_london Region_ITL2 Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2022 AA/AO London Inner London - East London 2655 2430 26480 25110
In post 2022 AA/AO London Inner London - West London 4015 3815 26030 24370
In post 2022 AA/AO London Outer London - East and North East London 1460 1355 27040 25110
In post 2022 AA/AO London Outer London - South London 1860 1685 24860 25630
In post 2022 AA/AO London Outer London - West and North West London 1885 1710 25990 25110
In post 2022 AA/AO Outside London Bedfordshire and Hertfordshire East of England 1185 1110 24850 23720
In post 2022 AA/AO Outside London Berkshire, Buckinghamshire and Oxfordshire South East (England) 3270 3105 25970 23770
In post 2022 AA/AO Outside London Cheshire North West (England) 1350 1230 23190 21300
In post 2022 AA/AO Outside London Cornwall and Isles of Scilly South West (England) 720 655 21200 21260
In post 2022 AA/AO Outside London Cumbria North West (England) 950 850 22280 21300
In post 2022 AA/AO Outside London Derbyshire and Nottinghamshire East Midlands (England) 3925 3575 22670 21260
In post 2022 AA/AO Outside London Devon South West (England) 3035 2730 22750 21300
In post 2022 AA/AO Outside London Dorset and Somerset South West (England) 1675 1560 22810 21260
In post 2022 AA/AO Outside London East Anglia East of England 4815 4425 23830 21680
In post 2022 AA/AO Outside London East Wales Wales 5355 4865 22040 21260
In post 2022 AA/AO Outside London East Yorkshire and Northern Lincolnshire Yorkshire and The Humber 2135 1940 24090 22200
In post 2022 AA/AO Outside London Eastern Scotland Scotland 6040 5615 22760 21640
In post 2022 AA/AO Outside London Essex East of England 1420 1290 23860 23520
In post 2022 AA/AO Outside London Gloucestershire, Wiltshire and Bath/Bristol area South West (England) 3800 3510 22520 21260
In post 2022 AA/AO Outside London Greater Manchester North West (England) 5515 5000 21810 21260
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).
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_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into “London”, “Outside London”: all UK regions excluding London, “Overseas”, and “Unknown”.
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.
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).