| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Wawasan 15
|
RM130,000
|
RM109
|
1,195 sqft
|
|
|
|
Lorong Wawasan 16
|
RM225,000
|
RM188
|
1,195 sqft
|
|
|
|
Lorong Wawasan 13
|
RM160,000
|
RM134
|
1,195 sqft
|
|
|
|
Lorong Wawasan 16
|
RM160,000
|
RM134
|
1,195 sqft
|
|
|
|
Lorong Wawasan 15
|
RM170,000
|
RM142
|
1,195 sqft
|
|
|
|
Lorong Wawasan 16
|
RM195,000
|
RM163
|
1,195 sqft
|
|
Selling in Taman Wawasan? Homes here sold for a median of RM170,000.
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1 auction properties in Taman Wawasan
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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 Pekan Lukut
Market Snapshot
ResidentialRM170,000
RM142 psfMedian transaction price
Lukut, Negeri Sembilan, Malaysia
MapsTaman Wawasan in Port Dickson, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM142.
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 RM170K, with most transactions falling within a stable range of RM142K to RM198K, and a typical market range of RM130K to RM211K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM142, with core pricing between RM119 and RM166. Market pricing typically extends from RM113.78 to RM170.78, reflecting moderate variation in unit pricing. The spread of RM57.00 (IQR) and deviation of RM24 (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.