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Data preview: All civil servants / Region_ITL3 / Region_ITL1 / Ethnicity

Status Year Region_ITL3 Region_ITL1 Ethnicity Headcount FTE Mean_salary Median_salary
In post 2021 Aberdeen City and Aberdeenshire Scotland Asian [c] [c] [c] [c]
In post 2021 Aberdeen City and Aberdeenshire Scotland Black [c] [c] [c] [c]
In post 2021 Aberdeen City and Aberdeenshire Scotland Chinese [c] [c] [c] [c]
In post 2021 Aberdeen City and Aberdeenshire Scotland Mixed [c] [c] [c] [c]
In post 2021 Aberdeen City and Aberdeenshire Scotland Other ethnicity [c] [c] [c] [c]
In post 2021 Aberdeen City and Aberdeenshire Scotland Undeclared 80 70 41810 33650
In post 2021 Aberdeen City and Aberdeenshire Scotland Unknown 420 400 32600 29190
In post 2021 Aberdeen City and Aberdeenshire Scotland White 1300 1230 36360 30650
In post 2021 Angus and Dundee City Scotland Asian 40 40 [c] [c]
In post 2021 Angus and Dundee City Scotland Black [c] [c] [c] [c]
In post 2021 Angus and Dundee City Scotland Chinese [c] [c] [c] [c]
In post 2021 Angus and Dundee City Scotland Mixed [c] [c] [c] [c]
In post 2021 Angus and Dundee City Scotland Other ethnicity [c] [c] [c] [c]
In post 2021 Angus and Dundee City Scotland Undeclared 60 50 23360 21010
In post 2021 Angus and Dundee City Scotland Unknown 320 300 24510 21010
In post 2021 Angus and Dundee City Scotland White 1460 1340 26740 22230
In post 2021 Antrim and Newtownabbey Northern Ireland Asian [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland Black [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland Chinese [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland Mixed [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland Other ethnicity [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland Undeclared [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland Unknown [c] [c] [c] [c]
In post 2021 Antrim and Newtownabbey Northern Ireland White 180 170 24160 20310
In post 2021 Ards and North Down Northern Ireland Asian [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland Black [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland Chinese [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland Mixed [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland Other ethnicity [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland Undeclared [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland Unknown [c] [c] [c] [c]
In post 2021 Ards and North Down Northern Ireland White 200 200 25970 20920
In post 2021 Armagh City, Banbridge and Craigavon Northern Ireland Asian [c] [c] [c] [c]
In post 2021 Armagh City, Banbridge and Craigavon Northern Ireland Black [c] [c] [c] [c]
In post 2021 Armagh City, Banbridge and Craigavon Northern Ireland Chinese [c] [c] [c] [c]
In post 2021 Armagh City, Banbridge and Craigavon Northern Ireland Mixed [c] [c] [c] [c]
In post 2021 Armagh City, Banbridge and Craigavon Northern Ireland Other ethnicity [c] [c] [c] [c]
In post 2021 Armagh City, Banbridge and Craigavon Northern Ireland White [c] [c] [c] [c]
In post 2021 Barking & Dagenham and Havering London Asian 140 130 30720 31060
In post 2021 Barking & Dagenham and Havering London Black 100 90 31020 31060
In post 2021 Barking & Dagenham and Havering London Chinese [c] [c] [c] [c]
In post 2021 Barking & Dagenham and Havering London Mixed [c] [c] [c] [c]
In post 2021 Barking & Dagenham and Havering London Other ethnicity [c] [c] [c] [c]
In post 2021 Barking & Dagenham and Havering London Undeclared 30 30 [c] [c]
In post 2021 Barking & Dagenham and Havering London Unknown 60 50 28700 31060
In post 2021 Barking & Dagenham and Havering London White 240 220 30270 31060
In post 2021 Barnet London Asian 400 380 37740 32090
In post 2021 Barnet London Black 210 200 34320 31060
In post 2021 Barnet London Chinese [c] [c] [c] [c]
In post 2021 Barnet London Mixed 70 70 34350 31060
In post 2021 Barnet London Other ethnicity 40 30 [c] [c]
In post 2021 Barnet London Undeclared 120 110 42810 36820
In post 2021 Barnet London Unknown 70 70 34930 31060
In post 2021 Barnet London White 760 710 42850 37960
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Asian [c] [c] [c] [c]
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Black [c] [c] [c] [c]
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Chinese [c] [c] [c] [c]
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Mixed [c] [c] [c] [c]
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Other ethnicity [c] [c] [c] [c]
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Undeclared 100 90 26500 27570
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber Unknown 270 250 25090 24280
In post 2021 Barnsley, Doncaster and Rotherham Yorkshire and The Humber White 2560 2270 27350 27380
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Asian 360 350 35790 33190
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Black 270 260 33950 33000
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Chinese [c] [c] [c] [c]
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Mixed 200 200 35330 32700
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Other ethnicity 60 60 37110 37170
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Undeclared 770 740 40640 39980
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) Unknown 890 860 34820 31600
In post 2021 Bath and North East Somerset, North Somerset and South Gloucestershire South West (England) White 10800 10350 38000 34740
In post 2021 Bedford East of England Asian 80 70 27780 27570
In post 2021 Bedford East of England Black 30 30 [c] [c]
In post 2021 Bedford East of England Chinese [c] [c] [c] [c]
In post 2021 Bedford East of England Mixed [c] [c] [c] [c]
In post 2021 Bedford East of England Other ethnicity [c] [c] [c] [c]
In post 2021 Bedford East of England Undeclared [c] [c] [c] [c]
In post 2021 Bedford East of England Unknown 110 100 28680 27570
In post 2021 Bedford East of England White 570 530 30900 29530
In post 2021 Belfast Northern Ireland Asian [c] [c] [c] [c]
In post 2021 Belfast Northern Ireland Black [c] [c] [c] [c]
In post 2021 Belfast Northern Ireland Chinese [c] [c] [c] [c]
In post 2021 Belfast Northern Ireland Mixed [c] [c] [c] [c]
In post 2021 Belfast Northern Ireland Other ethnicity [c] [c] [c] [c]
In post 2021 Belfast Northern Ireland Undeclared 70 60 28530 25560
In post 2021 Belfast Northern Ireland Unknown 590 560 26050 21440
In post 2021 Belfast Northern Ireland White 2120 1970 29700 25560
In post 2021 Berkshire South East (England) Asian 300 280 30340 29290
In post 2021 Berkshire South East (England) Black 90 80 32390 29290
In post 2021 Berkshire South East (England) Chinese [c] [c] [c] [c]
In post 2021 Berkshire South East (England) Mixed 60 60 35940 30960
In post 2021 Berkshire South East (England) Other ethnicity [c] [c] [c] [c]
In post 2021 Berkshire South East (England) Undeclared 170 160 34500 31880
In post 2021 Berkshire South East (England) Unknown 440 420 33000 29290
In post 2021 Berkshire South East (England) White 1870 1800 35420 31900
In post 2021 Bexley and Greenwich London Asian 110 100 30500 31060
In post 2021 Bexley and Greenwich London Black 260 260 31000 31060
In post 2021 Bexley and Greenwich London Chinese [c] [c] [c] [c]
In post 2021 Bexley and Greenwich London Mixed 60 60 31680 31060
In post 2021 Bexley and Greenwich London Other ethnicity [c] [c] [c] [c]
In post 2021 Bexley and Greenwich London Undeclared 80 70 32730 31120
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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 30 civil servants for FTE or Headcount, and less than 50 civil servants for median and mean salary (shown as [c]). Additionally, zero responses have been suppressed for GPDR protected characteristics. Figures are rounded to the nearest 10, or £10 as appropriate.

Data source: All figures are aggregated from the Cabinet Office Annual Civil Service Employment Survey collection.

Version: Generated on 2022-07-26, with GIT 03ee02c.

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.
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. The Defence Electronics and Components Agency does not record the date in which their employees first enter the Civil Service and so entrants data is not available. 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 March 31st).
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.
Ethnicity Self reported ethnicity. For consistency with Civil Service Statistics, ‘Chinese’ is shown separately in the 2021 figures, but counted within ‘Asian’ for 2022.
“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 10).
FTE Total full-time equivalent employment numbers (rounded to nearest 10).
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.
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.