| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Jaya 4
|
RM445,000
|
RM162
|
2,745 sqft
|
|
|
|
Jalan Jaya 4
|
RM400,000
|
RM146
|
2,745 sqft
|
|
|
|
Jalan Jaya 4
|
RM430,000
|
RM157
|
2,745 sqft
|
|
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Nearby areas in Rimba Terjun
Taman Pontian Perdana
Taman Rimba Indah
Taman Pontian Jaya
Taman Rimba Jaya 2
Taman Nilam
Taman Mutiara
Taman Pontian Utama
Taman Sri Maju
Perindustrian Pontian Maju
Taman Desa Molek
Taman Palma
Taman Impian Indah
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 Rimba Terjun
Market Snapshot
ResidentialRM280,000
RM204 psfMedian transaction price
Taman Pontian Jaya, 82000 Pontian, Johor Darul Ta'zim, Malaysia
MapsTaman Pontian Jaya in Pontian, Johor recorded 3 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM430K and a median price per square foot (PSF) of RM157.
This area contains both residential and commercial properties. View 34 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM430K, with most transactions falling within a stable range of RM411K to RM445K, and a typical market range of RM400K to RM445K.
Within the Double Storey Shop category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM157, with most transactions between RM150 and RM163. The usual range is RM110.16 to RM203.16, showing that most units are priced quite close to each other. With an IQR of RM93.00 and MAD of RM7, 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.