| 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
|
RM1,412,000
|
RM531
|
2,659 sqft
|
|
|
Lorong Sungai Batu 3A
|
RM1,565,000
|
RM486
|
3,218 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
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Market Snapshot
ResidentialRM830,000
RM486 psfMedian transaction price
Southwest District, Penang, Malaysia
MapsDesa Pantai Indah in Barat Daya, Penang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM830K and a median price per square foot (PSF) of RM460.
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 RM830K, with most transactions falling within a stable range of RM560K to RM1.10 million, and a typical market range of RM489K to RM1.17 million.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM460, with core pricing between RM396 and RM524. Market pricing typically extends from RM400.33 to RM520.33, reflecting moderate variation in unit pricing. With an IQR of RM120.00 and MAD of RM64, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.