Taman Perdana
Lorong Perdana 14, 14100 Simpang Ampat, Pulau Pinang, Malaysia
Lorong Perdana 14, 14100 Simpang Ampat, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 5
|
RM 212,000
|
RM 328
|
646 sqft
|
|
|
|
Level 5
|
RM 170,000
|
RM 263
|
646 sqft
|
|
|
|
Level 1
|
RM 170,000
|
RM 263
|
646 sqft
|
|
|
Lorong Perdana 14
|
RM 720,000
|
RM 440
|
1,636 sqft
|
|
|
Lorong Perdana 20
|
RM 700,000
|
RM 378
|
1,851 sqft
|
|
|
Jalan Perniagaan Perdana
|
RM 2,300,000
|
RM 822
|
2,799 sqft
|
|
|
Lorong Perdana 3
|
RM 1,650,000
|
RM 226
|
7,287 sqft
|
|
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Market Snapshot
ResidentialRM 456,000
RM 296 psfMedian transaction price
Lorong Perdana 14, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Perdana in Seberang Perai Selatan, Penang recorded 7 subsale transactions in 2025, with a median price of RM 700K and a median price per square foot (PSF) of RM 328.
This area contains both residential and commercial properties. View 65 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 700K, with most transactions falling within a stable range of RM 170K to RM 1.47 million, and a typical market range of RM 599K to RM 801K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 328, though individual units vary from RM 138 to RM 518 in the core range. The broader market spans RM 274.75 to RM 381.25, indicating diverse property characteristics. A wider spread (IQR: RM 106.50) and deviation (MAD: RM 190) 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.