Civil Service Statistics data browser (2022)

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

Status Year Region_ITL1 Sexual_orientation Disability Region_ITL3 Headcount FTE Mean_salary Median_salary
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled Derby 130 115 26290 24090
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled East Derbyshire 65 55 26810 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled Leicester 250 225 26720 25120
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled Leicestershire CC and Rutland 150 140 28240 26990
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled Lincolnshire CC 325 300 28520 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled North Northamptonshire 75 65 26550 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled North Nottinghamshire 130 120 29380 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled Nottingham 765 705 31120 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled South and West Derbyshire 105 95 31480 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled South Nottinghamshire 95 90 32070 29180
In post 2022 East Midlands (England) Heterosexual / straight Declared disabled West Northamptonshire 120 110 27110 26850
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled Derby 560 505 28050 26390
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled East Derbyshire 215 190 28700 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled Leicester 1365 1255 28290 26820
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled Leicestershire CC and Rutland 1125 1050 30100 27250
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled Lincolnshire CC 1770 1680 28920 26780
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled North Northamptonshire 285 255 26550 26330
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled North Nottinghamshire 590 555 30770 27570
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled Nottingham 4375 4110 33820 30450
In post 2022 East Midlands (England) Heterosexual / straight Declared non-disabled South and West Derbyshire 650 595 34980 28580
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).
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_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.
Sexual_orientation Self reported sexual orientation.
“Undeclared” accounts for employees who have actively declared that they do not want to disclose their sexual orientation and “Unknown” accounts for employees who have not made an active declaration about their sexual orientation.
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).