Taman Sukun
Lorong Sukun 14, Taman Sukun, 14000 Simpang Ampat, Pulau Pinang, Malaysia
Lorong Sukun 14, Taman Sukun, 14000 Simpang Ampat, Pulau Pinang, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Sukun 5
|
RM499,000
|
RM157
|
3,186 sqft
|
|
|
Lorong Sukun 6
|
RM430,000
|
RM110
|
3,918 sqft
|
|
Selling in Taman Sukun? Homes here sold for a median of RM464,500.
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Taman Sukun
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 14
Market Snapshot
ResidentialRM464,500
RM133 psfMedian transaction price
Lorong Sukun 14, Taman Sukun, 14000 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Sukun in Seberang Perai Tengah, Penang recorded 2 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM465K and a median price per square foot (PSF) of RM133.
This area contains both residential and commercial properties. View 3 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM465K, with most transactions falling within a stable range of RM430K to RM499K, and a typical market range of RM430K to RM499K.
Within the Single Storey Semi-D category, 2 - 2 1/2 storey shop dominated the market, with high diversity across multiple property types.
The median PSF stands at RM133, with core pricing between RM110 and RM157. Market pricing typically extends from RM92.18 to RM174.18, reflecting moderate variation in unit pricing. The spread of RM82.00 (IQR) and deviation of RM23 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.