Kawasan Penempatan Semula Permatang Dama

10470 George Town, Penang, Malaysia

Property Transactions

15 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM200,000
753 sqft
RM265 PSF
RM180,000
721 sqft
RM250 PSF
RM215,000
624 sqft
RM344 PSF
RM170,000
613 sqft
RM277 PSF
RM185,000
743 sqft
RM249 PSF
RM200,000
624 sqft
RM320 PSF
RM170,000
624 sqft
RM272 PSF
RM170,000
624 sqft
RM272 PSF
RM200,000
732 sqft
RM273 PSF
RM200,000
624 sqft
RM320 PSF
RM150,000
624 sqft
RM240 PSF
RM817,000
9,763 sqft
RM84 PSF
RM1,200,000
6,674 sqft
RM180 PSF
RM520,000
7,750 sqft
RM67 PSF
RM850,000
6,846 sqft
RM124 PSF
Legend Recent Highest Price Highest PSF

Selling in Kawasan Penempatan Semula Permatang Dama? Homes here sold for a median of RM200,000.

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Market Snapshot

Residential

RM200,000

RM265 psf

Median transaction price

Kawasan Penempatan Semula Permatang Dama in Barat Daya, Penang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM265.

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 RM200K, with most transactions falling within a stable range of RM170K to RM230K, and a typical market range of RM150K to RM296K.

Most transactions involved cluster house, though some variety exists in the market.

For price per square foot, the median is RM265, with most transactions between RM240 and RM290. The usual range is RM232.94 to RM297.94, showing that most units are priced quite close to each other. With an IQR of RM65.00 and MAD of RM25, 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.