| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan 2-1A
|
RM190,000
|
RM153
|
1,238 sqft
|
|
|
Jalan 2/5B
|
RM170,000
|
RM131
|
1,302 sqft
|
|
|
|
Jalan Perdana 2
|
RM150,000
|
RM115
|
1,302 sqft
|
|
|
Jalan 3/3
|
RM220,000
|
RM157
|
1,399 sqft
|
|
|
|
Jalan 3/5
|
RM180,000
|
RM129
|
1,399 sqft
|
|
|
|
Jalan 3/3
|
RM170,000
|
RM121
|
1,399 sqft
|
|
|
|
Jalan Intan Perdana 3/9
|
RM210,000
|
RM150
|
1,399 sqft
|
|
|
|
Jalan 3/3
|
RM170,000
|
RM121
|
1,399 sqft
|
|
|
|
Jalan 3/5
|
RM160,000
|
RM114
|
1,399 sqft
|
|
Selling in Taman Intan Perdana? Homes here sold for a median of RM180,000.
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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 Si Rusa
Market Snapshot
ResidentialRM180,000
RM121 psfMedian transaction price
Taman Intan Perdana, 71050 Port Dickson, Negeri Sembilan, Malaysia
MapsTaman Intan Perdana in Port Dickson, Negeri Sembilan recorded 16 subsale transactions in 2022, with a median price of RM180K and a median price per square foot (PSF) of RM121.
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 RM180K, with most transactions falling within a stable range of RM151K to RM209K, and a typical market range of RM150K to RM212K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM121, with core pricing between RM99 and RM144. Market pricing typically extends from RM98.62 to RM144.37, reflecting moderate variation in unit pricing. The spread of RM45.75 (IQR) and deviation of RM22 (MAD) suggest moderate price variations reflecting different property features.
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.