A complete guide to property investment in Willenhall.
Last updated: 25 August 2026
Willenhall offers a blend of affordability and strong rental returns, with a price-to-income ratio of 4.1 that signals homes are accessible compared to many parts of Britain. The area’s property market has shown resilience, with three-year capital growth of 13.8% and annualised growth over the same period at 4.4%. Liquidity is robust; homes spend an average of 25 days on the market and achieve their asking prices, as shown by the median discount of £0 (the typical achieved discount).
Rental yields are a highlight, averaging 6.1%, and even higher in the top-performing postcode district at 6.5%. The family-friendly demographic, with a families household percentile in the 91st percentile, suggests stable long-term demand. Social rented housing is also high, sitting in the 80th percentile, which may influence the character and opportunities for private landlords.
Median price per sq ft
£220 / sq ft
Average rental yield
6.1%
Capital growth (1y)
-0.0%
Sales in past year
387
* Property stats calculated for last full calendar year (2024).
Live prices in Willenhall, West Midlands
* Extreme prices clipped for legibility
Median price
£240,000
25% of properties below...
£180,000
75% of properties below...
£312,500
Most expensive property
£1,700,000
Live listings
163
Median days on market
25
The next year in Willenhall looks steady, with recent capital growth over one year at 0%, suggesting the market has paused after a period of strong gains. The area remains attractive for investors seeking reliable yields and quick sales, as evidenced by the 6.1% and 25 days.
Affordability, with a price-to-income ratio of 4.1, should help support demand even if broader economic conditions tighten. While the high unemployment rate is a concern, the large family population and stable rental returns indicate ongoing demand for well-priced homes. Investors should expect a market that favours income over rapid capital appreciation in the coming months.
Average yield (%)
Median price per sq ft (£/sq ft)
Investment properties in Willenhall, West Midlands

£70,000 - Offers in Region of
1 bedroom maisonette for sale
Birch Coppice Gardens, Willenhall, ...

£240,000 - Offers in Excess of
3 bedroom terraced house for sale
Essington Road, Willenhall, West Mi...

£450,000 - Offers in Region of
4 bedroom detached house for sale
Princethorpe Road, Willenhall

£165,000 - Guide Price
3 bedroom terraced house for sale
Victoria Street, Willenhall, WV13

£90,000 - Guide Price
1 bedroom flat for sale
Pendlebury Close, WALSALL, West Mid...

£185,000 - Offers Over
2 bedroom semi-detached house for sale
Littleton Road, Willenhall

£140,000 - Guide Price
2 bedroom semi-detached house for sale
Brereton Road, WILLENHALL, West Mid...
Median discounts are small, suggesting a competitive market.
• Median discount: £0
• 1 in 4 properties sell at > £5,000 below asking
• 1 in 10 properties sell at > £10,000 below asking
In percentage terms:
• Median discount of 0.0%
• 25% of properties discounted by > 2.4%
• 10% of properties discounted by > 5.0%
Top postcodes for rental yield and (annualised) capital growth
GeoGlider calculates property investment stats by blending official and proprietary datasets. Here's a quick overview of key sources and how we use them:
HM Land Registry: Property transaction and sold-price records for England & Wales used to calculate historical capital growth, price levels and comparables.
Office for National Statistics (ONS): Demographic and economic indicators for the UK, including Census 2021, supporting area profiling and market context.
Ordnance Survey: Authoritative UK geospatial data powering accurate boundaries, roads and terrain for mapping and spatial analysis.
GeoProp: Our proprietary AI pipeline that processes millions of property listings to extract rich features and live market signals.
Department for Levelling Up, Housing & Communities: Energy Performance Certificate (EPC) scores and property floor areas.
HM Revenue & Customs (HMRC): Household income and employment data to understand local affordability and economic conditions.
Data is updated continuously, matched across sources and rigorously validated.