Queens Residences Q2 @ Queens Waterfront

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

Property Transactions

7 subsales found

Median
RM963,000
PSF
RM962
Price Size
Period
transactions middle 50% (P25–P75)
RM998,000
Level 18
1,001 sqft RM997 PSF
RM945,000
Level 21
1,001 sqft RM944 PSF
RM1,085,000
Level 9
997 sqft RM1,088 PSF
RM985,000
Level 6
1,000 sqft RM985 PSF
RM915,000
Level 19
1,000 sqft RM915 PSF
RM920,000
Level 6
1,000 sqft RM920 PSF
RM963,000
Level 17
1,001 sqft RM962 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM963,000

RM962 psf

Median transaction price

Average

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Queens Residences Q2 @ Queens Waterfront
© OpenStreetMap · CARTO

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

Maps

Queens Residences Q2 @ Queens Waterfront in Barat Daya, Penang recorded 7 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM963K and a median price per square foot (PSF) of RM962.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM963K, with most transactions falling within a stable range of RM915K to RM1.02 million, and a typical market range of RM915K to RM1.09 million.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM962, with most transactions between RM907 and RM1,017. The usual range is RM816.13 to RM1,107.88, showing that most units are priced quite close to each other. With an IQR of RM291.75 and MAD of RM55, the PSF demonstrates reasonable consistency across the market.

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.