| Price | PSF | Size | Date | Type |
|---|
|
RM185,000
|
RM311
|
594 sqft
|
|
|
|
RM130,000
|
RM219
|
594 sqft
|
|
|
|
RM78,000
|
RM131
|
594 sqft
|
|
|
|
RM60,000
|
RM53
|
1,134 sqft
|
|
|
RM120,000
|
RM202
|
594 sqft
|
|
|
|
RM38,000
|
RM64
|
594 sqft
|
|
|
|
RM38,000
|
RM64
|
594 sqft
|
|
|
RM60,000
|
RM101
|
594 sqft
|
|
LC House |
|
RM180,000
|
RM121
|
1,488 sqft
|
|
Terrace |
Selling in Taman Sentosa Simpang Rengam? Homes here sold for a median of RM99,000.
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Taman Sentosa Simpang Rengam
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 Ulu Benut
Market Snapshot
ResidentialRM99,000
RM111 psfMedian transaction price
Jalan Meranti, Kampung Hashim, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia
MapsTaman Sentosa Simpang Rengam in Kluang, Johor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM99K 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 RM99K, with most transactions falling within a stable range of RM49K to RM149K, and a typical market range of RM45K to RM153K.
Most transactions involved low-cost house, though some variety exists in the market.
Price per square foot shows a median of RM121, though individual units vary from RM74 to RM168 in the core range. The broader market spans RM63.85 to RM178.10, indicating diverse property characteristics. A wider spread (IQR: RM114.25) and deviation (MAD: RM47) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.