Electoral wardE05015834
Exhall ward, Nuneaton and Bedworth
Exhall is one of 19 electoral wards of Nuneaton and Bedworth Borough Council, in Warwickshire (West Midlands). At the 2021 Census it had 6,924 residents in 2,819 households — 1,426 people per km², the 13th largest of the council's wards by population. It lies in the North Warwickshire and Bedworth constituency; for county elections it is in the Bedworth East and Bedworth West divisions.
Residents, 20216,924council ward average 7,063
Households2,8192.46 residents per household
Density1,426/ km²about 4.86 km² · Nuneaton and Bedworth 1,700
Aged 65+18.5%Nuneaton and Bedworth: 19.1% · under 16: 19.1%
Census 2021
Age of residents
0–45.8% · 399
5–96.0% · 417
10–157.3% · 508
16–194.6% · 317
20–244.6% · 320
25–3413.5% · 933
35–4919.4% · 1,341
50–6420.3% · 1,409
65–749.7% · 672
75–846.3% · 439
85+2.5% · 174
Car or van availability
Share of households.
No car or van16.0% · 451
1 car or van41.9% · 1,179
2 cars or vans31.2% · 878
3 or more11.0% · 309
Census 2021
Housing tenure
Share of households; Nuneaton and Bedworth overall: 68.1% owned, 14.4% social rented, 16.6% private rented.
Owned outright37.6% · 1,058
With mortgage36.6% · 1,032
Shared ownership1.1% · 32
Social rented11.3% · 318
Private rented13.4% · 376
Type of home
Detached house19.8% · 558
Semi-detached house57.0% · 1,608
Terraced house14.5% · 408
Purpose-built flat6.2% · 175
Converted house0.5% · 15
Other conversion0.0% · 1
Above shop / office0.4% · 12
Caravan, mobile1.6% · 45
Electoral geography
Ward facts
- Ward code (GSS)
E05015834- County council
- Warwickshire County Council
- County division
- Bedworth East, Bedworth West
- Constituency
- North Warwickshire and Bedworth
- Region
- West Midlands
- Density rank in council
- 14 of 19
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 4 census areas (LSOAs) that ONS best-fits to it, so they are close estimates.