Civil Service Statistics data browser (2023)

Data preview: All civil servants / Region_ITL1 / Region_london / Region_ITL3 / Region_ITL2

Status Year Region_ITL1 Region_london Region_ITL3 Region_ITL2 Headcount FTE Mean_salary Median_salary
In post 2023 East Midlands (England) Outside London Derby Derbyshire and Nottinghamshire 1130 1010 28500 27490
In post 2023 East Midlands (England) Outside London East Derbyshire Derbyshire and Nottinghamshire 385 340 29780 28120
In post 2023 East Midlands (England) Outside London Leicester Leicestershire, Rutland and Northamptonshire 2375 2165 28770 28080
In post 2023 East Midlands (England) Outside London Leicestershire CC and Rutland Leicestershire, Rutland and Northamptonshire 2090 1945 31360 28480
In post 2023 East Midlands (England) Outside London Lincolnshire CC Lincolnshire 3080 2895 30740 28120
In post 2023 East Midlands (England) Outside London North Northamptonshire Leicestershire, Rutland and Northamptonshire 605 540 27700 27490
In post 2023 East Midlands (England) Outside London North Nottinghamshire Derbyshire and Nottinghamshire 1145 1070 32050 28880
In post 2023 East Midlands (England) Outside London Nottingham Derbyshire and Nottinghamshire 9405 8845 33880 29890
In post 2023 East Midlands (England) Outside London South Nottinghamshire Derbyshire and Nottinghamshire 1060 1000 34540 30430
In post 2023 East Midlands (England) Outside London South and West Derbyshire Derbyshire and Nottinghamshire 1230 1120 35850 31670
In post 2023 East Midlands (England) Outside London West Northamptonshire Leicestershire, Rutland and Northamptonshire 1130 1040 30030 28120
In post 2023 East of England Outside London Bedford Bedfordshire and Hertfordshire 905 845 32230 30750
In post 2023 East of England Outside London Breckland and South Norfolk East Anglia 560 525 32280 29890
In post 2023 East of England Outside London Cambridgeshire CC East Anglia 3465 3300 35470 33120
In post 2023 East of England Outside London Central Bedfordshire Bedfordshire and Hertfordshire 455 435 33260 29570
In post 2023 East of England Outside London Essex Haven Gateway Essex 920 860 32360 31280
In post 2023 East of England Outside London Essex Thames Gateway Essex 925 835 29590 29640
In post 2023 East of England Outside London Heart of Essex Essex 1235 1160 33870 30740
In post 2023 East of England Outside London Hertfordshire CC Bedfordshire and Hertfordshire 2830 2660 37360 32520
In post 2023 East of England Outside London Luton Bedfordshire and Hertfordshire 580 520 28690 27650
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 2023-07-26, 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_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.
Region_ITL3 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 3 divides into counties, unitary authorities, or districts in England (some grouped), groups of unitary authorities in Wales, groups of council areas in Scotland, groups of districts in Northern Ireland.
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).