Taman Sri Tunas
11900 Bayan Lepas, Pulau Pinang, Malaysia
11900 Bayan Lepas, Pulau Pinang, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Mayang Pasir 5
|
RM1,750,000
|
RM487
|
3,595 sqft
|
|
|
|
Lorong Mayang Pasir
|
RM1,700,000
|
RM473
|
3,595 sqft
|
|
|
|
Lorong Mayang Pasir 5
|
RM1,700,000
|
RM473
|
3,595 sqft
|
|
|
Jalan Mayang Pasir
|
RM2,000,000
|
RM551
|
3,627 sqft
|
|
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Taman Sri Tunas
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 12
Market Snapshot
ResidentialRM850,000
RM561 psfMedian transaction price
Taman Sri Tunas, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsTaman Sri Tunas in Barat Daya, Penang recorded 4 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.73 million and a median price per square foot (PSF) of RM480.
This area contains both residential and commercial properties. View 7 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 RM1.73 million, with most transactions falling within a stable range of RM1.70 million to RM1.85 million, and a typical market range of RM1.70 million to RM2.00 million.
Within the 3-Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM480, with most transactions between RM447 and RM512. The usual range is RM200.94 to RM758.69, showing that most units are priced quite close to each other. With an IQR of RM557.75 and MAD of RM32, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.