Queens Residences Q1 @ Queens Waterfront

Persiaran Bayan Indah, Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

10 subsales found

Median
RM936,000
PSF
RM964
Price Size
Period
transactions middle 50% (P25–P75)
RM974,000
Level 13
947 sqft RM1,028 PSF
RM750,000
Level 10
950 sqft RM790 PSF
RM900,000
Level 10
950 sqft RM947 PSF
RM763,000
Level 20
950 sqft RM803 PSF
RM820,000
Level 7
1,000 sqft RM820 PSF
RM980,000
Level 16
1,000 sqft RM980 PSF
RM1,843,000
Level 13
1,658 sqft RM1,112 PSF
RM932,000
Level 8
947 sqft RM984 PSF
RM987,000
Level 19
1,206 sqft RM819 PSF
RM940,000
Level 13
947 sqft RM992 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM936,000

RM964 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 10 subsale transactions in 2021, with a median price of RM936K and a median price per square foot (PSF) of RM964.

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 RM936K, with most transactions falling within a stable range of RM750K to RM1.23 million, and a typical market range of RM750K to RM1.13 million.

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

The median PSF stands at RM964, with core pricing between RM858 and RM1,070. Market pricing typically extends from RM853.99 to RM1,073.49, reflecting moderate variation in unit pricing. With an IQR of RM219.50 and MAD of RM106, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.