Queens Residences Q1 @ Queens Waterfront

Persiaran Bayan Indah, Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

18 subsales grouped by size

Median
RM1,024,500
PSF
RM1,082
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM1,200,000
Level 19
950 sqft · RM1,263 PSF
RM1,230,000
Level 16
947 sqft · RM1,299 PSF
RM1,050,000
Level 17
947 sqft · RM1,109 PSF
RM1,100,000
Level 10
947 sqft · RM1,161 PSF
RM999,000
Level 7
947 sqft · RM1,055 PSF
RM1,178,000
Level 7
947 sqft · RM1,244 PSF
+12 more
Legend Recent Highest Price Highest PSF

Selling in Queens Residences Q1 @ Queens Waterfront? Homes here sold for a median of RM1,024,500.

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Market Snapshot

Residential

RM1,024,500

RM1,082 psf

Median transaction price

Low

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Queens Residences Q1 @ Queens Waterfront
© OpenStreetMap · CARTO

Persiaran Bayan Indah, Bayan Lepas, Pulau Pinang, Malaysia

Maps

Queens Residences Q1 @ Queens Waterfront in Barat Daya, Penang recorded 18 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM1.02 million and a median price per square foot (PSF) of RM1,082.

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 RM1.02 million, with most transactions falling within a stable range of RM885K to RM1.16 million, and a typical market range of RM830K to RM1.22 million.

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

The median PSF stands at RM1,082, with core pricing between RM934 and RM1,229. Market pricing typically extends from RM971.84 to RM1,191.34, reflecting moderate variation in unit pricing. With an IQR of RM219.50 and MAD of RM148, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.