| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Sungai Batu 3
|
RM830,000
|
RM535
|
1,550 sqft
|
|
|
|
Lorong Sungai Batu 3
|
RM730,000
|
RM471
|
1,550 sqft
|
|
|
Lorong Sungai Batu 3
|
RM575,000
|
RM304
|
1,894 sqft
|
|
|
Lorong Sungai Batu 3A
|
RM750,000
|
RM314
|
2,390 sqft
|
|
|
|
Lorong Sungai Batu 3A
|
RM1,100,000
|
RM460
|
2,390 sqft
|
|
|
Lorong Sungai Batu 3A
|
RM1,824,000
|
RM344
|
5,296 sqft
|
|
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Desa Pantai Indah
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 11
Market Snapshot
ResidentialRM790,000
RM402 psfMedian transaction price
Southwest District, Penang, Malaysia
MapsDesa Pantai Indah in Barat Daya, Penang recorded 6 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM790K and a median price per square foot (PSF) of RM402.
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 RM790K, with most transactions falling within a stable range of RM575K to RM1.20 million, and a typical market range of RM575K to RM1.13 million.
Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM402, though individual units vary from RM314 to RM491 in the core range. The broader market spans RM342.38 to RM462.38, indicating diverse property characteristics. The spread of RM120.00 (IQR) and deviation of RM88 (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.