Over the past 22 years, there have been 3 property sales recorded in the ST9 9NN postcode area. The highest sale price reached £140,000, while the most recent sale was for a terraced house sold in February 2007 for £140,000.

The estimated average property value in ST9 9NN currently stands at £129,503, which is approximately 68.9% lower than the city average - making it a relatively affordable option for buyers.

In terms of size, the average price per square metre is approximately £2,618.

Property prices in ST9 9NN have risen by 7.9% over the past year , with a total increase of 25.7% over the past five years, and a long-term rise of 52.1% over the past decade.

The most common type of property sold in the area is terraced, making up around 67% of transactions , followed by flat.

Housing in ST9 9NN is mixed, with 100% of homes being , indicating a diverse residential makeup.

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Property Sales

24 Leek Road, Stockton Brook, Stoke-On-Trent, Staffordshire Moorlands, Staffordshire, ST9 9NN

Today
£47,326
streetscan.co.uk estimate
4 Apr 2003
£22,500

24A Leek Road, Stockton Brook, Stoke-On-Trent, Staffordshire Moorlands, Staffordshire, ST9 9NN

🏠 Terraced
🛏️ 4bed
📐 875 sq ft
Today
£214,324
streetscan.co.uk estimate
6 Feb 2007
£140,000
7 Jul 2003
£27,500
More details

Area Insights

Data Sources

Properties at ST9 9NN appear three times in the Land Registry records, with the latest transaction recorded on 6 Feb 2007. It also has a single Energy Performance Certificate (EPC) from 15 Jun 2009. We use this data, to estimate the property's characteristics and current market value.

This website uses public sector information from:

These datasets are licensed under the Open Government Licence v3.0.
This website is not affiliated with or endorsed by HM Land Registry or DLUHC.

Disclaimer: StreetScan.co.uk makes all reasonable efforts to ensure the information provided on this website is current and accurate; however, no warranties or representations are made as to its completeness or accuracy. StreetScan.co.uk expressly disclaims any and all liability for any loss, damage, or expense arising directly or indirectly from the use of, or reliance upon, such information.