Taman Belibis
15, Taman Belibis, 14100 Simpang Ampat, Pulau Pinang, Malaysia
15, Taman Belibis, 14100 Simpang Ampat, Pulau Pinang, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 85,000
|
RM 149
|
570 sqft
|
|
|
|
Level 1
|
RM 85,000
|
RM 149
|
570 sqft
|
|
|
|
Level 4
|
RM 66,000
|
RM 116
|
570 sqft
|
|
|
|
Level 1
|
RM 90,000
|
RM 158
|
570 sqft
|
|
|
Lorong Belibis 24
|
RM 360,000
|
RM 328
|
1,098 sqft
|
|
|
|
Lorong Belibis 12
|
RM 400,000
|
RM 364
|
1,098 sqft
|
|
|
Lorong Belibis 22
|
RM 500,000
|
RM 269
|
1,862 sqft
|
|
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Market Snapshot
ResidentialRM 90,000
RM 158 psfMedian transaction price
15, Taman Belibis, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Belibis in Seberang Perai Selatan, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 90K and a median price per square foot (PSF) of RM 158.
This area contains both residential and commercial properties. View 40 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 90K, with most transactions falling within a stable range of RM 66K to RM 262K, and a typical market range of RM 66K to RM 198K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM 158, though individual units vary from RM 65 to RM 250 in the core range. The broader market spans RM 97.76 to RM 217.76, indicating diverse property characteristics. A wider spread (IQR: RM 120.00) and deviation (MAD: RM 92) 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.