Over the past 13 years, there have been 3 property sales recorded in the SY16 3NS postcode area. The highest sale price reached £890,000, while the most recent sale was a property sold in October 2019 for £890,000.

The estimated average property value in SY16 3NS currently stands at £686,853, which is approximately 216.5% higher than the city average, indicating a potentially more desirable or in-demand location.

In terms of size, the average price per square metre is approximately £6,512.

Property prices in SY16 3NS have fallen by 1.4% over the past year , with a total increase of 20.5% over the past five years, and a long-term rise of 36.4% over the past decade.

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

Housing in SY16 3NS is predominantly owner-occupied, with an estimated 100% of homes being lived in by the owners.

Click on the map to change the analyzed area

Property Sales

Dolgar, New Mills, Newtown, Powys, SY16 3NS

🏠 Other
🛏️ 4bed
📐 532 sq ft
Today
£327,121
streetscan.co.uk estimate
16 Dec 2016
£250,000
30 Nov 2012
£250,000
More details

Tyn-Y Shettin Farm, New Mills, Newtown, Powys, SY16 3NS

Today
£1,081,169
streetscan.co.uk estimate
28 Oct 2019
£890,000

Area Insights

Data Sources

Properties at SY16 3NS appear three times in the Land Registry records, with the latest transaction recorded on 28 Oct 2019. It also has a single Energy Performance Certificate (EPC) from 19 May 2011. 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.