The Golden Triangle

29, Jln Paya Terubung, Relau, 11060 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM900,000
PSF
RM408
Price Size
Period
transactions middle 50% (P25–P75)
2,200 sqft
Shop
RM1,700,000
Level 1
2,207 sqft · RM770 PSF
RM900,000
Level 2
2,207 sqft · RM408 PSF
RM700,000
Level 3
2,207 sqft · RM317 PSF
Legend Recent Highest Price Highest PSF

Selling in The Golden Triangle? Homes here sold for a median of RM900,000.

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Market Snapshot

RM512,500

RM438 psf

Median transaction price

RM900,000

RM408 psf

Median transaction price

Low

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The Golden Triangle
© OpenStreetMap · CARTO

29, Jln Paya Terubung, Relau, 11060 Bayan Lepas, Pulau Pinang, Malaysia

Maps

The Golden Triangle in Barat Daya, Penang recorded 3 subsale transactions between 2021 and 2026, sized between 2,175 and 2,224 sqft, with a median price of RM900K and a median price per square foot (PSF) of RM408.

This area contains both residential and commercial properties. View 60 residential properties or 19 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM900K, with most transactions falling within a stable range of RM700K to RM1.33 million, and a typical market range of RM817K to RM983K.

Most transactions involved condominium/apartment, though some variety exists in the market.

Price per square foot shows a median of RM408, though individual units vary from RM212 to RM604 in the core range. The broader market spans RM375.87 to RM439.87, indicating diverse property characteristics. A wider spread (IQR: RM64.00) and deviation (MAD: RM196) indicate significant PSF variations, likely due to diverse property types or conditions.

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.