Civil Service Statistics data browser (2023)

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

Status Year Region_ITL1 Region_ITL2 Region_london Organisation Headcount FTE Mean_salary Median_salary
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Advisory, Conciliation and Arbitration Service 100 95 30770 32110
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Animal and Plant Health Agency 40 40 31780 30320
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Building Digital UK [c] [c] [c] [c]
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Cabinet Office (excl. agencies) 5 5 [c] [c]
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Central Civil Service Fast Stream 20 20 31100 30130
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Companies House [c] [c] [c] [c]
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Crown Commercial Service [c] [c] [c] [c]
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Crown Prosecution Service 325 305 38330 31180
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Defence Equipment and Support 15 15 39580 38580
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Business, Energy and Industrial Strategy (excl. agencies) 10 10 47180 50310
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Digital, Culture, Media and Sport (excl. agencies) 5 5 [c] [c]
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Education (excl. agencies) 325 310 42710 38210
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Environment, Food and Rural Affairs (excl. agencies) 90 90 39270 37300
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for International Trade 40 35 47380 46070
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Levelling Up, Housing and Communities (excl. agencies) 55 50 42960 37540
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Transport (excl. agencies) 30 30 58300 55020
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department for Work and Pensions (excl. agencies) 2065 1825 27170 28120
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Department of Health and Social Care (excl. agencies) 25 25 53770 50830
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Driver and Vehicle Standards Agency 370 355 34300 31660
In post 2023 East Midlands (England) Derbyshire and Nottinghamshire Outside London Education and Skills Funding Agency 30 30 41050 38210
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 2023-07-27, 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).
Organisation Executive Agencies, Ministerial and Non-Ministerial Departments, Crown Non-departmental Public Bodies.
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).