Electoral wardE05015567
Kimberley ward, Broxtowe
Kimberley is one of 20 electoral wards of Broxtowe Borough Council, in Nottinghamshire (East Midlands). At the 2021 Census it had 6,592 residents in 3,011 households — 939 people per km², the 5th largest of the council's wards by population. It lies in the Nottingham North and Kimberley constituency; for county elections it is in the Nuthall & Kimberley division.
Residents, 20216,592council ward average 5,515
Households3,0112.19 residents per household
Density939/ km²about 7.02 km² · Broxtowe 1,486
Aged 65+22.2%Broxtowe: 21.8% · under 16: 16.4%
Census 2021
Age of residents
0–45.0% · 327
5–95.2% · 342
10–156.2% · 410
16–193.7% · 242
20–244.5% · 298
25–3411.5% · 757
35–4918.3% · 1,208
50–6423.4% · 1,540
65–7413.4% · 884
75–846.7% · 442
85+2.1% · 138
Car or van availability
Share of households.
No car or van18.2% · 547
1 car or van42.1% · 1,267
2 cars or vans30.0% · 903
3 or more9.8% · 295
Census 2021
Housing tenure
Share of households; Broxtowe overall: 71.5% owned, 10.7% social rented, 17.3% private rented.
Owned outright41.5% · 1,251
With mortgage33.7% · 1,016
Shared ownership0.2% · 7
Social rented10.6% · 320
Private rented13.9% · 419
Lives rent free0.0% · 1
Type of home
Detached house38.1% · 1,147
Semi-detached house31.5% · 949
Terraced house22.3% · 670
Purpose-built flat5.8% · 175
Converted house0.3% · 10
Other conversion1.1% · 34
Above shop / office0.8% · 24
Electoral geography
Ward facts
- Ward code (GSS)
E05015567- Council
- Broxtowe Borough Council
- County council
- Nottinghamshire County Council
- County division
- Nuthall & Kimberley
- Constituency
- Nottingham North and Kimberley
- Region
- East Midlands
- Density rank in council
- 15 of 20
Parishes in the ward
GreasleyKimberleyNuthall
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 5 census areas (LSOAs) that ONS best-fits to it, so they are close estimates.