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Electoral wardE05015087

Ferry ward, North Lincolnshire

Ferry is one of 19 electoral wards of North Lincolnshire Council (Yorkshire and The Humber). At the 2021 Census it had 11,433 residents in 4,933 households — 81 people per km², the 6th largest of the council's wards by population. It lies in the Brigg and Immingham constituency.

Residents, 202111,433council ward average 8,931
Households4,9332.32 residents per household
Density81/ km²about 141.15 km² · North Lincolnshire 200
Aged 65+23.4%North Lincolnshire: 22.0% · under 16: 16.6%
Census 2021

Age of residents

0–44.1% · 471
5–95.7% · 650
10–156.8% · 778
16–193.6% · 411
20–243.7% · 423
25–349.5% · 1,089
35–4917.4% · 1,989
50–6425.7% · 2,939
65–7413.6% · 1,559
75–847.5% · 859
85+2.2% · 257

Car or van availability

Share of households.

No car or van10.1% · 497
1 car or van38.4% · 1,896
2 cars or vans36.1% · 1,785
3 or more15.4% · 762
Census 2021

Housing tenure

Share of households; North Lincolnshire overall: 67.5% owned, 15.0% social rented, 17.2% private rented.

Owned outright41.5% · 2,049
With mortgage32.2% · 1,589
Shared ownership0.3% · 15
Social rented9.7% · 480
Private rented16.2% · 798
Lives rent free0.1% · 3

Type of home

Detached house52.9% · 2,610
Semi-detached house32.0% · 1,577
Terraced house13.5% · 666
Purpose-built flat0.8% · 38
Converted house0.3% · 14
Other conversion0.1% · 5
Above shop / office0.2% · 9
Caravan, mobile0.3% · 15
Electoral geography

Ward facts

Ward code (GSS)
E05015087
Region
Yorkshire and The Humber
Density rank in council
18 of 19

Parishes in the ward

Barrow upon HumberCroxtonEast HaltonGoxhillKirmingtonNew HollandNorth KillingholmeSouth KillingholmeThornton CurtisUlcebyWootton

Other wards in the same constituency

All 19 wards of North Lincolnshire

Census 2021: Office for National Statistics via Nomis (TS001, TS006, TS007B, TS041, TS044, TS045, TS054) · ward lookups: ONS Open Geography Portal · Open Government Licence v3.0This ward was drawn after the 2021 Census: figures are built up from the 7 census areas (LSOAs) that ONS best-fits to it, so they are close estimates.