Over the past 12 years, there have been 3 property sales recorded in the S1 4RW postcode area. The highest sale price reached £125,000, while the most recent sale was for a terraced flat sold in April 2013 for £125,000.

The estimated average property value in S1 4RW currently stands at £186,609, which is approximately 35.5% 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 £4,214.

Property prices in S1 4RW have risen by 4% over the past year , with a total increase of 27.3% over the past five years, and a long-term rise of 47% over the past decade.

100% of recorded transactions in the area were for flat properties.

Housing in S1 4RW is predominantly rented, with an estimated 100% of homes being rented, either privately or through social housing.

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Property Sales

Flat 1, 106 Mary Street, Sheffield, South Yorkshire, S1 4RW

Today
£197,115
streetscan.co.uk estimate
31 Jan 2013
£125,000

Flat 2, 106 Mary Street, Sheffield, South Yorkshire, S1 4RW

Today
£145,077
streetscan.co.uk estimate
31 Jan 2013
£92,000

110 Mary Street, Sheffield, South Yorkshire, S1 4RW

🏠 Flat
🛏️ 3bed
📐 527 sq ft
Today
£200,000
streetscan.co.uk estimate
18 Apr 2013
£125,000
More details

Area Insights

Data Sources

Properties at S1 4RW appear three times in the Land Registry records, with the latest transaction recorded on 18 Apr 2013. It also has a single Energy Performance Certificate (EPC) from 14 Aug 2024. 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.