Desa Ria

Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM1,185,000
PSF
RM263
Price Size
Period
transactions middle 50% (P25–P75)
4,000 sqft
Bungalow
RM1,070,000
Lorong Kenari 3
4,004 sqft · RM267 PSF
RM1,450,000
Lorongg Kenari 5
4,004 sqft · RM362 PSF
4,500 sqft
Bungalow
RM1,200,000
Pintasan Kenari
4,499 sqft · RM267 PSF
RM1,170,000
Pintasan Kenari
4,499 sqft · RM260 PSF
RM1,050,000
Pintasan Kenari
4,500 sqft · RM233 PSF
27,200 sqft
Bungalow
RM4,825,000
Solok Kelicap
27,179 sqft · RM178 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM1,185,000

RM263 psf

Median transaction price

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Desa Ria, Bayan Lepas, Pulau Pinang, Malaysia

Maps

Desa Ria in Barat Daya, Penang recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM1.19 million and a median price per square foot (PSF) of RM263.

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 RM1.19 million, with most transactions falling within a stable range of RM1.05 million to RM2.55 million, and a typical market range of RM1.05 million to RM1.33 million.

Within the Bungalow category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM263, though individual units vary from RM209 to RM318 in the core range. The broader market spans RM155.75 to RM371.00, indicating diverse property characteristics. The spread of RM215.25 (IQR) and deviation of RM55 (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.