Over the past 27 years, there have been 4 property sales recorded in the DN14 9LT postcode area. The highest sale price reached £390,000, while the most recent sale was a property sold in February 2023 for £390,000.

The estimated average property value in DN14 9LT currently stands at £247,349, which is approximately 31.8% 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 £399.

Property prices in DN14 9LT have risen by 3.6% over the past year , with a total increase of 24.3% over the past five years, and a long-term rise of 43.4% over the past decade.

The most common type of property sold in the area is detached, making up around 75% of transactions , followed by terraced.

Housing in DN14 9LT is predominantly owner-occupied, with an estimated 100% of homes being lived in by the owners.

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Property Sales

Manor Farm High Street, Carlton, Goole, Selby, North Yorkshire, DN14 9LT

Today
£405,678
streetscan.co.uk estimate
3 Feb 2023
£390,000
27 Jun 2000
£230,000
30 Jan 1998
£199,000

The Cottage High Street, Carlton, Goole, Selby, North Yorkshire, DN14 9LT

🏠 Terraced
🛏️ 10bed
📐 2648 sq ft
Today
£100,259
streetscan.co.uk estimate
28 Apr 2006
£64,100
More details

Area Insights

Data Sources

Properties at DN14 9LT appear four times in the Land Registry records, with the latest transaction recorded on 3 Feb 2023. It also has a single Energy Performance Certificate (EPC) from 11 Aug 2010. 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.