Authenticity at Every Step
Rather than rely on unfiltered stats, we reinterpret housing data through a cleaner, more adaptive lens. See why our results stand out
Explore the unique aspects of Tomkinson Heights in Cannock, and how it compares to the surrounding area and the wider Cannock region.
While you’re here, check out these quick 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 > Cannock > WS12 > Tomkinson Heights
Quick Facts about Property Prices in Tomkinson Heights
Tomkinson Heights’s Prices Stacked Against Surrounding Areas
Hednesford
Homes in Hednesford offer a 48% saving compared to Tomkinson Heights, based on market data. (£212,300 vs £405,500) Thus, picking Hednesford instead of Tomkinson Heights could cut your housewarming bill by £193,200.
WS12 4
On average, homebuyers pay 47% more for properties on Tomkinson Heights compared to the WS12 4 sector. (£405,500 vs £216,400). These figures highlight that homes on Tomkinson Heights may come with a premium of about £189,100 over similar properties nearby.
i.e. WS12
Save first, decorate later: the WS12 district homes come at 47% less than Tomkinson Heights. (£214,500 vs £405,500). Accordingly, the average buyer could expect to pay around £191,000 more on Tomkinson Heights.
i.e. Cannock
Buyers in Cannock avoid the extra polish fee - which adds up to 42% more on Tomkinson Heights. (£405,500 vs £233,000). When the dust settles, that same home could cost £172,200 more - just for being on Tomkinson Heights.
WS12 Area Overview
Rather than rely on unfiltered stats, we reinterpret housing data through a cleaner, more adaptive lens. See why our results stand out