Dedaun-Bandar Cassia
7, Persiaran Dedaun 2, 14100 Simpang Ampat, Pulau Pinang, Malaysia
7, Persiaran Dedaun 2, 14100 Simpang Ampat, Pulau Pinang, Malaysia
| Price | PSF | Size | Date | Type |
|---|
|
RM1,800,000
|
RM219
|
8,234 sqft
|
|
|
|
RM650,000
|
RM95
|
6,878 sqft
|
|
|
|
RM690,000
|
RM96
|
7,158 sqft
|
|
|
|
RM1,400,000
|
RM187
|
7,492 sqft
|
|
|
RM300,000
|
RM324
|
926 sqft
|
|
|
|
RM300,000
|
RM324
|
926 sqft
|
|
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Dedaun-Bandar Cassia
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 13
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Market Snapshot
ResidentialRM650,000
RM226 psfMedian transaction price
7, Persiaran Dedaun 2, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsDedaun-Bandar Cassia in Seberang Perai Selatan, Penang recorded 11 subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM226.
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 RM650K, with most transactions falling within a stable range of RM300K to RM1.00 million, and a typical market range of RM288K to RM1.01 million.
Most transactions involved detached, with high diversity across multiple property types.
Price per square foot shows a median of RM226, though individual units vary from RM168 to RM284 in the core range. The broader market spans RM167.34 to RM283.84, indicating diverse property characteristics. A wider spread (IQR: RM116.50) and deviation (MAD: RM58) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.