Plaza Gurney

Lot 170-B1-45, Plaza Gurney, 46, Persiaran Gurney, 10250 George Town, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
650 sqft
Terrace
RM335,000
Jalan Oriental 6
667 sqft · RM502 PSF
750 sqft
Terrace
RM380,000
Jalan Oriental 6
753 sqft · RM504 PSF
950 sqft
1-Sty Shop
RM950,000
Jalan Paya Terubong
926 sqft · RM1,026 PSF
1,100 sqft
1-Sty Shop
RM930,000
Jalan Paya Terubong
1,098 sqft · RM847 PSF
1,150 sqft
1-Sty Shop
RM800,000
Jalan Paya Terubong
1,163 sqft · RM688 PSF
1,400 sqft
Terrace
RM775,000
Jalan Oriental 1
1,421 sqft · RM545 PSF
Legend Recent Highest Price Highest PSF

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Lot 170-B1-45, Plaza Gurney, 46, Persiaran Gurney, 10250 George Town, Pulau Pinang, Malaysia

Maps

Plaza Gurney in Timur Laut, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM788K and a median price per square foot (PSF) of RM688.

This area contains both residential and commercial properties. View 3 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM788K, with most transactions falling within a stable range of RM635K to RM940K, and a typical market range of RM578K to RM950K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM688, with most transactions between RM664 and RM712. The usual range is RM669.92 to RM706.42, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.50 and an average deviation (MAD) of RM24 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.