| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Rimba Jaya 1
|
RM540,000
|
RM213
|
2,540 sqft
|
|
|
|
Jalan Rimba Jaya 2
|
RM530,000
|
RM209
|
2,540 sqft
|
|
|
|
Jalan Rimba Jaya 2
|
RM530,000
|
RM209
|
2,540 sqft
|
|
|
|
Jalan Rimba Jaya 1
|
RM540,000
|
RM213
|
2,540 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
Taman Rimba Jaya I
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
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Market Snapshot
ResidentialRM535,000
RM211 psfMedian transaction price
Taman Rimba Jaya, 82000 Pontian, Johor Darul Ta'zim, Malaysia
MapsTaman Rimba Jaya I in Pontian, Johor recorded 4 subsale transactions in 2022, with a median price of RM535K and a median price per square foot (PSF) of RM211.
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 RM535K, with most transactions falling within a stable range of RM530K to RM540K, and a typical market range of RM530K to RM540K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM211, with most transactions between RM209 and RM213. The usual range is RM189.61 to RM231.61, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.00 and an average deviation (MAD) of RM2 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.