From Wikipedia, the free encyclopedia
This is a list of metropolitan counties, non-metropolitan counties and unitary authorities of England by population.
It includes those non-metropolitan counties (also known as shire counties) with a two-tier county council structure, metropolitan counties and unitary authorities.
In cases where a unitary authority has been detached from a county the population of the unitary authority is shown separately. For example, Luton is shown separately from the population figure for Bedfordshire.
| Rank |
County |
Population |
Type |
| 1 |
Greater London |
7,517,700 |
|
| 2 |
West Midlands |
2,555,592 |
metropolitan county |
| 3 |
Greater Manchester |
2,547,700 |
metropolitan county |
| 4 |
West Yorkshire |
2,079,211 |
metropolitan county |
| 5 |
Merseyside |
1,362,026 |
metropolitan county |
| 6 |
Kent |
1,329,718 |
two-tier |
| 7 |
Essex |
1,310,835 |
two-tier |
| 8 |
South Yorkshire |
1,266,338 |
metropolitan county |
| 9 |
Hampshire |
1,240,103 |
two-tier |
| 10 |
Lancashire |
1,134,974 |
two-tier |
| 11 |
Tyne and Wear |
1,075,938 |
metropolitan county |
| 12 |
Surrey |
1,059,015 |
two-tier |
| 13 |
Hertfordshire |
1,033,977 |
two-tier |
| 14 |
Staffordshire |
806,744 |
two-tier |
| 15 |
Berkshire |
800,118 |
two-tier |
| 16 |
Nottinghamshire |
748,510 |
two-tier |
| 17 |
Derbyshire |
734,585 |
two-tier |
| 18 |
Norfolk |
796,728 |
two-tier |
| 19 |
West Sussex |
753,614 |
two-tier |
| 20 |
Devon |
704,493 |
two-tier |
| 21 |
Cheshire |
673,788 |
two-tier |
| 22 |
Suffolk |
668,553 |
two-tier |
| 23 |
Lincolnshire |
646,645 |
two-tier |
| 24 |
Northamptonshire |
629,676 |
two-tier |
| 25 |
Leicestershire |
609,578 |
two-tier |
| 26 |
Oxfordshire |
605,488 |
two-tier |
| 27 |
North Yorkshire |
569,660 |
two-tier |
| 28 |
Gloucestershire |
564,559 |
two-tier |
| 29 |
Cambridgeshire |
552,658 |
two-tier |
| 30 |
Worcestershire |
542,107 |
two-tier |
| 31 |
Warwickshire |
505,860 |
two-tier |
| 32 |
Cornwall (inc Scilly) |
501,267 |
two-tier |
| 33 |
Somerset |
498,093 |
two-tier |
| 34 |
Durham |
493,470 |
two-tier |
| 35 |
East Sussex |
492,324 |
two-tier |
| 36 |
Cumbria |
487,607 |
two-tier |
| 37 |
Buckinghamshire |
479,026 |
two-tier |
| 38 |
Wiltshire |
432,973 |
two-tier |
| 39 |
Dorset |
390,980 |
two-tier |
| 40 |
Bedfordshire |
381,572 |
two-tier |
| 41 |
Bristol |
380,615 |
unitary |
| 42 |
East Riding of Yorkshire |
314,113 |
unitary |
| 43 |
Northumberland |
307,190 |
two-tier |
| 44 |
Leicester |
279,921 |
unitary |
| 45 |
Nottingham |
266,988 |
unitary |
| 46 |
Medway |
249,488 |
unitary |
| 47 |
Shropshire |
283,173 |
two-tier |
| 48 |
Brighton and Hove |
247,817 |
unitary |
| 49 |
Hull |
243,589 |
unitary |
| 50 |
South Gloucestershire |
245,641 |
unitary |
| 51 |
Plymouth |
240,720 |
unitary |
| 52 |
Stoke-on-Trent |
240,636 |
unitary |
| 53 |
Derby |
221,708 |
unitary |
| 54 |
Southampton |
217,445 |
unitary |
| 55 |
Milton Keynes |
207,057 |
unitary |
| 56 |
North Somerset |
188,564 |
unitary |
| 57 |
Portsmouth |
186,701 |
unitary |
| 58 |
Luton |
184,371 |
unitary |
| 59 |
York |
181,094 |
unitary |
| 60 |
Swindon |
180,051 |
unitary |
| 61 |
Stockton-on-Tees |
178,408 |
unitary |
| 62 |
Herefordshire |
174,871 |
unitary |
| 63 |
Bath and North East Somerset |
169,040 |
unitary |
| 64 |
Bournemouth |
163,444 |
unitary |
| 65 |
Southend-on-Sea |
160,257 |
unitary |
| 66 |
Telford and Wrekin |
158,325 |
unitary |
| 67 |
North East Lincolnshire |
157,979 |
unitary |
| 68 |
Peterborough |
156,061 |
unitary |
| 69 |
North Lincolnshire |
152,849 |
unitary |
| 70 |
Thurrock |
143,128 |
unitary |
| 71 |
Blackpool |
142,283 |
unitary |
| 72 |
Redcar and Cleveland |
139,132 |
unitary |
| 73 |
Poole |
138,288 |
unitary |
| 74 |
Blackburn with Darwen |
137,470 |
unitary |
| 75 |
Middlesbrough |
134,855 |
unitary |
| 76 |
Isle of Wight |
132,731 |
unitary |
| 77 |
Torbay |
129,706 |
unitary |
| 78 |
Halton |
118,208 |
unitary |
| 79 |
Darlington |
97,838 |
unitary |
| 80 |
Hartlepool |
88,611 |
unitary |
| 81 |
Rutland |
34,563 |
unitary |
- Please note these population figures may not be accurate