Queensbay Mall

100, Persiaran Bayan Indah, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

8 subsales found

Median
RM2,309,000
PSF
RM2,803
Period
transactions middle 50% (P25–P75)
RM1,250,000
Level 3
581 sqft RM2,151 PSF
RM858,000
Level 3
334 sqft RM2,571 PSF
RM1,450,000
Level 1
581 sqft RM2,495 PSF
RM1,324,000
Level G
312 sqft RM4,242 PSF
RM3,235,000
Level 2
560 sqft RM5,780 PSF
RM3,168,000
Level 1
1,130 sqft RM2,803 PSF
RM13,029,000
Level G
1,259 sqft RM10,346 PSF
RM3,789,000
Level 3
1,808 sqft RM2,095 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM2,309,000

RM2,687 psf

Median transaction price

Queensbay Mall
© OpenStreetMap · CARTO

100, Persiaran Bayan Indah, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Queensbay Mall in Barat Daya, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM2.31 million and a median price per square foot (PSF) of RM2,803.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.31 million, with most transactions falling within a stable range of RM1.29 million to RM3.33 million, and a typical market range of RM1.28 million to RM3.34 million.

Most transactions involved shop unit/retail lot, with minimal variety in property types.

Price per square foot shows a median of RM2,803, though individual units vary from RM2,239 to RM3,367 in the core range. The broader market spans RM1,694.27 to RM3,911.77, indicating diverse property characteristics. The spread of RM2,217.50 (IQR) and deviation of RM564 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.