Civil Service Statistics data browser (2021)

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

Status Year Region_ITL1 Region_london Region_ITL2 Function_of_post Headcount FTE Mean_salary Median_salary
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Analysis 40 40 37260 33350
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Commercial 105 100 41270 39210
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Communications 485 475 29530 25560
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Counter Fraud 515 485 33460 31810
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Debt 250 225 21470 20140
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Digital, Data & Technology 205 200 39510 36410
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Finance 190 180 37680 32650
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Grants Management 65 60 25370 25100
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Human Resources 435 415 37660 32100
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Internal Audit 25 20 41610 41820
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Legal 410 370 36710 31810
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire No function 6420 5970 30670 27130
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Project Delivery 295 285 42280 38630
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Property 335 310 37260 33300
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Security 80 80 33610 33200
In post 2021 East Midlands (England) Outside London Derbyshire and Nottinghamshire Unknown 2440 2175 26260 27570
In post 2021 East Midlands (England) Outside London Leicestershire, Rutland and Northamptonshire Analysis [c] [c] [c] [c]
In post 2021 East Midlands (England) Outside London Leicestershire, Rutland and Northamptonshire Commercial 40 35 41900 38150
In post 2021 East Midlands (England) Outside London Leicestershire, Rutland and Northamptonshire Communications 10 10 43150 39850
In post 2021 East Midlands (England) Outside London Leicestershire, Rutland and Northamptonshire Counter Fraud 15 15 38240 31980
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 2023-02-17, 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.
Year Year of data collection (as at 31 March).
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.
Function_of_post Functions relate to the post occupied by the person and are not dependent on qualifications the individual may have.
The Department for Work and Pensions provided aggregated functions data for 2021, which are available in the Civil Service Statistics publication. However, figures in this browser are derived from individual level data and so are not available for this department in 2021.
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).