Data You Can Trust
Rather than rely on unfiltered stats, we reinterpret housing data through a cleaner, more adaptive lens. Take a closer look at our method
Find out what sets Waterfront Way in the WS2 district in Walsall apart when compared to the wider Walsall region.
Also, get the insights you need with these tools:
How much is your home worth?
Get a personalised estimate based on recent local sales and property type.
Why Use M0VE?
Spot undervalued deals in any given area
Find the perfect home that matches your budget and lifestyle
Relocate smarter with side-by-side area comparisons
Take the guesswork out of making an offer
Access the UK's most accurate valuation tool
Get in-depth stats for any street in the UK
Visualise UK market data with interactive charts
Get smarter alerts that go way beyond new listings
Chat with AI trained on real property data
House Prices > Walsall > WS2 > Waterfront Way
Understanding Recent Transactions in Waterfront Way
Waterfront Way Property Prices vs Surrounding Areas
WS2 9
When it comes to value, Waterfront Way edges ahead by costing about 33% less than the WS2 9 sector (£132,100 vs £99,400). Thus, picking Waterfront Way might keep £32,700 safely tucked in your wallet versus buying elsewhere in WS2 9.
i.e. WS2
Compared to the WS2 district, properties in Waterfront Way are, on average, 46% cheaper. (£99,400 vs £145,100). If you’re counting pennies, Waterfront Way could help you keep an extra £45,700 in your mortgage pot.
i.e. Walsall
Homes in Walsall fetch 172% more than in Waterfront Way, based on typical sale values. (£270,000 vs £99,400). With this difference, a home on Waterfront Way could be priced around £170,600 less than a comparable one in Walsall.
WS2 at a Glance
If there’s ever a time to explore WS2’s real estate market, it’s now. Rapid developments bring urgency, with buyers snapping up properties quickly. Opportunities are ripe for investment and settling alike, making a visit to available listings promptly advisable.
Rather than rely on unfiltered stats, we reinterpret housing data through a cleaner, more adaptive lens. Take a closer look at our method