Check the latest house sale activity on Peveril Bank in the TF4 district in Telford and how it compares regionally.
Additionally, power up your property journey with 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 > Telford > TF4 > Peveril Bank
Breaking Down House Prices on Peveril Bank
House Prices: Peveril Bank Against Surrounding Areas
Lawley Bank
In Lawley Bank, you’ll find homes are priced 29% above their Peveril Bank rivals. (£202,100 vs £156,500) With the difference in mind, buying on Peveril Bank rather than Lawley Bank could cut your costs by £45,600.
TF4 2
The cost of purchasing a home in Peveril Bank is typically 26% less than in the TF4 2 sector. (£197,200 vs £156,500). This analysis shows that a home on Peveril Bank may require you to spend £40,700 less than elsewhere in the sector.
i.e. TF4
On Peveril Bank, you’d pay 30% less for a property than in the TF4 district on average. (£156,500 vs £203,700). In straightforward terms, picking Peveril Bank over elsewhere in the district could knock off about £47,200.
i.e. Telford
Telford homes are priced 45% higher than those in Peveril Bank, according to market averages. (£228,000 vs £156,500). As a result, purchasing a comparable property on Peveril Bank might save you approximately £71,200 compared to Telford.
A Closer Look at TF4
Every valuation is grounded in trustworthy records and sharpened with our bespoke process. By accounting for square footage, build type and energy efficiency, we remove guesswork and deliver stronger pricing clarity. See how we fine-tune the data
