Dedaun-Bandar Cassia
7, Persiaran Dedaun 2, 14100 Simpang Ampat, Pulau Pinang, Malaysia
7, Persiaran Dedaun 2, 14100 Simpang Ampat, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Dedaun 2
|
RM 1,100,000
|
RM 226
|
4,876 sqft
|
|
|
Lorong Dedaun 3
|
RM 1,020,000
|
RM 185
|
5,522 sqft
|
|
|
Lorong Dedaun 5
|
RM 650,000
|
RM 95
|
6,878 sqft
|
|
|
Lorong Dedaun 5
|
RM 690,000
|
RM 96
|
7,158 sqft
|
|
|
Lorong Dedaun 5
|
RM 1,400,000
|
RM 187
|
7,492 sqft
|
|
|
Lorong Dedaun 5
|
RM 1,800,000
|
RM 219
|
8,234 sqft
|
|
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Market Snapshot
ResidentialRM 1,060,000
RM 186 psfMedian transaction price
7, Persiaran Dedaun 2, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsDedaun-Bandar Cassia in Seberang Perai Selatan, Penang recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 1.06 million and a median price per square foot (PSF) of RM 186.
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 RM 1.06 million, with most transactions falling within a stable range of RM 661K to RM 1.46 million, and a typical market range of RM 698K to RM 1.42 million.
Within the Bungalow category, detached dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 186, though individual units vary from RM 133 to RM 239 in the core range. The broader market spans RM 127.55 to RM 244.05, indicating diverse property characteristics. A wider spread (IQR: RM 116.50) and deviation (MAD: RM 53) 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.