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

Status Year Region_ITL1 Region_ITL2 Ethnicity Headcount FTE Mean_salary Median_salary
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Asian 650 590 29880 27570
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Black 320 300 27280 26560
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Chinese [c] [c] [c] [c]
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Mixed 210 200 30360 27570
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Other ethnicity 40 40 [c] [c]
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Undeclared 500 460 31450 28130
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire Unknown 1800 1700 28540 25560
In post 2021 East Midlands (England) Derbyshire and Nottinghamshire White 8750 8080 31650 27570
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Asian 1030 920 25190 22030
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Black 170 160 26400 24140
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Chinese [c] [c] [c] [c]
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Mixed 100 90 27890 27570
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Other ethnicity [c] [c] [c] [c]
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Undeclared 270 250 27380 26930
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire Unknown 740 690 25330 22850
In post 2021 East Midlands (England) Leicestershire, Rutland and Northamptonshire White 3900 3580 28420 27130
In post 2021 East Midlands (England) Lincolnshire Asian [c] [c] [c] [c]
In post 2021 East Midlands (England) Lincolnshire Black [c] [c] [c] [c]
In post 2021 East Midlands (England) Lincolnshire Chinese [c] [c] [c] [c]
In post 2021 East Midlands (England) Lincolnshire Mixed [c] [c] [c] [c]
In post 2021 East Midlands (England) Lincolnshire Other ethnicity [c] [c] [c] [c]
In post 2021 East Midlands (England) Lincolnshire Undeclared 140 130 31090 27570
In post 2021 East Midlands (England) Lincolnshire Unknown 150 150 27370 26300
In post 2021 East Midlands (England) Lincolnshire White 2450 2310 27840 26670
In post 2021 East of England Bedfordshire and Hertfordshire Asian 540 500 30790 29290
In post 2021 East of England Bedfordshire and Hertfordshire Black 230 220 30990 29290
In post 2021 East of England Bedfordshire and Hertfordshire Chinese [c] [c] [c] [c]
In post 2021 East of England Bedfordshire and Hertfordshire Mixed 140 130 31830 29290
In post 2021 East of England Bedfordshire and Hertfordshire Other ethnicity 40 40 [c] [c]
In post 2021 East of England Bedfordshire and Hertfordshire Undeclared 210 190 32800 30420
In post 2021 East of England Bedfordshire and Hertfordshire Unknown 410 390 29890 28100
In post 2021 East of England Bedfordshire and Hertfordshire White 2950 2760 33160 30110
In post 2021 East of England East Anglia Asian 370 320 27160 23130
In post 2021 East of England East Anglia Black 120 120 32370 27570
In post 2021 East of England East Anglia Chinese [c] [c] [c] [c]
In post 2021 East of England East Anglia Mixed 180 170 28940 27570
In post 2021 East of England East Anglia Other ethnicity 50 50 [c] [c]
In post 2021 East of England East Anglia Undeclared 570 530 31140 27900
In post 2021 East of England East Anglia Unknown 1090 1030 28940 26350
In post 2021 East of England East Anglia White 10060 9370 30280 27570
In post 2021 East of England Essex Asian 210 200 34760 29290
In post 2021 East of England Essex Black 240 230 29610 29290
In post 2021 East of England Essex Chinese [c] [c] [c] [c]
In post 2021 East of England Essex Mixed 100 90 32100 29290
In post 2021 East of England Essex Other ethnicity 30 30 [c] [c]
In post 2021 East of England Essex Undeclared 310 290 30990 29090
In post 2021 East of England Essex Unknown 580 540 29370 26590
In post 2021 East of England Essex White 4110 3750 30790 29290
In post 2021 London Inner London - East Asian 2520 2360 37070 31880
In post 2021 London Inner London - East Black 2540 2440 33470 31060
In post 2021 London Inner London - East Chinese 110 110 44400 40450
In post 2021 London Inner London - East Mixed 610 580 38210 32680
In post 2021 London Inner London - East Other ethnicity 270 250 42610 35570
In post 2021 London Inner London - East Undeclared 930 870 40430 33090
In post 2021 London Inner London - East Unknown 2010 1920 40340 34700
In post 2021 London Inner London - East White 8220 7840 47040 41030
In post 2021 London Inner London - West Asian 6000 5800 41320 36240
In post 2021 London Inner London - West Black 4330 4230 36970 33460
In post 2021 London Inner London - West Chinese 360 360 44730 40860
In post 2021 London Inner London - West Mixed 2050 2000 44360 39960
In post 2021 London Inner London - West Other ethnicity 710 680 44660 39000
In post 2021 London Inner London - West Undeclared 2340 2270 46680 42620
In post 2021 London Inner London - West Unknown 11100 10900 45400 39610
In post 2021 London Inner London - West White 34260 33250 50080 48920
In post 2021 London Outer London - East and North East Asian 700 640 29620 31060
In post 2021 London Outer London - East and North East Black 640 620 30720 31060
In post 2021 London Outer London - East and North East Chinese [c] [c] [c] [c]
In post 2021 London Outer London - East and North East Mixed 120 110 30180 31060
In post 2021 London Outer London - East and North East Other ethnicity 70 60 30590 31060
In post 2021 London Outer London - East and North East Undeclared 230 210 30950 31060
In post 2021 London Outer London - East and North East Unknown 460 450 29570 31060
In post 2021 London Outer London - East and North East White 1550 1440 31410 31060
In post 2021 London Outer London - South Asian 1710 1590 34070 29870
In post 2021 London Outer London - South Black 1580 1510 33010 30470
In post 2021 London Outer London - South Chinese 70 60 39510 36160
In post 2021 London Outer London - South Mixed 360 340 35590 31060
In post 2021 London Outer London - South Other ethnicity 100 100 35130 31060
In post 2021 London Outer London - South Undeclared 580 550 37800 35070
In post 2021 London Outer London - South Unknown 1240 1200 36020 31150
In post 2021 London Outer London - South White 5110 4830 40570 36160
In post 2021 London Outer London - West and North West Asian 2630 2420 31160 29450
In post 2021 London Outer London - West and North West Black 880 830 31350 31060
In post 2021 London Outer London - West and North West Chinese 40 40 [c] [c]
In post 2021 London Outer London - West and North West Mixed 270 260 31790 31060
In post 2021 London Outer London - West and North West Other ethnicity 130 120 33740 31060
In post 2021 London Outer London - West and North West Undeclared 600 540 34820 31060
In post 2021 London Outer London - West and North West Unknown 760 730 31520 30580
In post 2021 London Outer London - West and North West White 3760 3480 35350 31870
In post 2021 North East (England) Northumberland and Tyne and Wear Asian 280 260 28260 25440
In post 2021 North East (England) Northumberland and Tyne and Wear Black 110 110 27260 25560
In post 2021 North East (England) Northumberland and Tyne and Wear Chinese 40 40 [c] [c]
In post 2021 North East (England) Northumberland and Tyne and Wear Mixed 140 130 29610 27570
In post 2021 North East (England) Northumberland and Tyne and Wear Other ethnicity 30 20 [c] [c]
In post 2021 North East (England) Northumberland and Tyne and Wear Undeclared 800 730 29280 25560
In post 2021 North East (England) Northumberland and Tyne and Wear Unknown 3450 3120 26230 21440
In post 2021 North East (England) Northumberland and Tyne and Wear White 16510 14710 28680 25560
In post 2021 North East (England) Tees Valley and Durham Asian 110 100 26720 22850
In post 2021 North East (England) Tees Valley and Durham Black [c] [c] [c] [c]
In post 2021 North East (England) Tees Valley and Durham Chinese [c] [c] [c] [c]
In post 2021 North East (England) Tees Valley and Durham Mixed 80 80 28800 26880
Note: Data has been truncated to 100 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 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_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.
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.