Civil Service Statistics data browser (2023)

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

Status Year Disability Region_ITL2 Region_ITL3 Region_ITL1 Headcount FTE Mean_salary Median_salary
In post 2023 Declared disabled Bedfordshire and Hertfordshire Bedford East of England 110 95 32430 29050
In post 2023 Declared disabled Bedfordshire and Hertfordshire Central Bedfordshire East of England 45 40 34610 28120
In post 2023 Declared disabled Bedfordshire and Hertfordshire Hertfordshire CC East of England 360 330 34970 31560
In post 2023 Declared disabled Bedfordshire and Hertfordshire Luton East of England 90 80 28880 28120
In post 2023 Declared disabled Berkshire, Buckinghamshire and Oxfordshire Berkshire South East (England) 360 335 34660 31280
In post 2023 Declared disabled Berkshire, Buckinghamshire and Oxfordshire Buckinghamshire South East (England) 220 210 33870 31830
In post 2023 Declared disabled Berkshire, Buckinghamshire and Oxfordshire Milton Keynes South East (England) 235 220 32880 29050
In post 2023 Declared disabled Berkshire, Buckinghamshire and Oxfordshire Oxfordshire CC South East (England) 305 290 34460 31920
In post 2023 Declared disabled Cheshire Cheshire East North West (England) 190 175 31130 28120
In post 2023 Declared disabled Cheshire Cheshire West and Chester North West (England) 90 80 28490 28120
In post 2023 Declared disabled Cheshire Warrington North West (England) 270 245 33390 31760
In post 2023 Declared disabled Cornwall and Isles of Scilly Cornwall and Isles of Scilly South West (England) 255 230 27880 28120
In post 2023 Declared disabled Cumbria East Cumbria North West (England) 160 145 30060 26550
In post 2023 Declared disabled Cumbria West Cumbria North West (England) 200 180 28900 25920
In post 2023 Declared disabled Derbyshire and Nottinghamshire Derby East Midlands (England) 195 175 26890 25830
In post 2023 Declared disabled Derbyshire and Nottinghamshire East Derbyshire East Midlands (England) 90 80 27730 28120
In post 2023 Declared disabled Derbyshire and Nottinghamshire North Nottinghamshire East Midlands (England) 180 165 30320 28120
In post 2023 Declared disabled Derbyshire and Nottinghamshire Nottingham East Midlands (England) 1205 1115 32370 28130
In post 2023 Declared disabled Derbyshire and Nottinghamshire South Nottinghamshire East Midlands (England) 135 125 32870 30320
In post 2023 Declared disabled Derbyshire and Nottinghamshire South and West Derbyshire East Midlands (England) 170 150 34070 29150
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).
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.
Disability Self reported disability.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their disability status and "Unknown" accounts for employees who have not made an active declaration about their disability status.
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).