Civil Service Statistics data browser (2023)

Data preview: All civil servants / Ethnicity / Region_ITL1 / Region_ITL2 / Sex

Status Year Ethnicity Region_ITL1 Region_ITL2 Sex Headcount FTE Mean_salary Median_salary
In post 2023 Asian East Midlands (England) Derbyshire and Nottinghamshire Female 590 530 31620 28120
In post 2023 Asian East Midlands (England) Derbyshire and Nottinghamshire Male 455 445 32670 28130
In post 2023 Asian East Midlands (England) Derbyshire and Nottinghamshire Unknown [c] [c] [c] [c]
In post 2023 Asian East Midlands (England) Leicestershire, Rutland and Northamptonshire Female 570 485 26910 24430
In post 2023 Asian East Midlands (England) Leicestershire, Rutland and Northamptonshire Male 435 415 27430 25880
In post 2023 Asian East Midlands (England) Leicestershire, Rutland and Northamptonshire Unknown [c] [c] [c] [c]
In post 2023 Asian East Midlands (England) Lincolnshire Female 15 10 [c] [c]
In post 2023 Asian East Midlands (England) Lincolnshire Male 10 10 [c] [c]
In post 2023 Asian East Midlands (England) Lincolnshire Unknown [c] [c] [c] [c]
In post 2023 Asian East of England Bedfordshire and Hertfordshire Female 430 380 32810 30660
In post 2023 Asian East of England Bedfordshire and Hertfordshire Male 235 225 34240 31280
In post 2023 Asian East of England Bedfordshire and Hertfordshire Unknown [c] [c] [c] [c]
In post 2023 Asian East of England East Anglia Female 215 180 27140 23310
In post 2023 Asian East of England East Anglia Male 175 160 32000 28120
In post 2023 Asian East of England East Anglia Unknown [c] [c] [c] [c]
In post 2023 Asian East of England Essex Female 100 90 33690 31280
In post 2023 Asian East of England Essex Male 80 80 38560 31170
In post 2023 Asian East of England Essex Unknown [c] [c] [c] [c]
In post 2023 Asian London Inner London - East Female 1735 1605 39400 34370
In post 2023 Asian London Inner London - East Male 1400 1370 41380 37500
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 2023-07-29, 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.
Sex Self reported sex.
"Unknown" accounts for employees who were recorded with an unknown sex.
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
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).