Authenticity at Every Step
Our valuations are powered by real figures and shaped by thoughtful recalibration, not generic guesswork. View the structure behind the insight
Get the lowdown on house prices along O'connor Avenue in the WS12 district in Cannock, compared to the broader Cannock patch.
Also, use these simple tools to plan your next step better.
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 > O'connor Avenue
House Price Insights for O'connor Avenue
Price Breakdown: O'connor Avenue and Surrounding Areas
WS12 2
In general, property costs across the WS12 2 sector are 9% cheaper than in O'connor Avenue. (£223,000 vs £243,900) Notably, staying on O'connor Avenue might mean coughing up another £20,900.
i.e. WS12
Buying a property on O'connor Avenue will cost you, on average, 12% more than purchasing in the WS12 district. (£243,900 vs £214,500). Therefore, a home of similar value and specification on O'connor Avenue could demand around £29,400 more than one in the WS12 district.
i.e. Cannock
The average property price in Cannock is 4% below that in O'connor Avenue. (£233,000 vs £243,900). So while O'connor Avenue may lead in looks, Cannock leads in value - by about £10,600.
About the WS12 Area
The WS12 district offers everything – even peace of mind. Lush parks, low crime rates, and excellent schools make it a steady choice for families. Within its bounds, one can gently ease into each day, assured there are no over-exciting surprises here. It’s all about slow and stable living.
Our valuations are powered by real figures and shaped by thoughtful recalibration, not generic guesswork. View the structure behind the insight