Taman. Permai Jaya
Taman Permai, 42700 Banting, Selangor, Malaysia
Taman Permai, 42700 Banting, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Mangga 6
|
RM253,000
|
RM181
|
1,399 sqft
|
|
|
|
Jalan Mangga 3
|
RM200,000
|
RM143
|
1,399 sqft
|
|
|
|
Jalan Mangga 9
|
RM180,000
|
RM129
|
1,399 sqft
|
|
|
|
Jalan Mangga 8
|
RM135,000
|
RM96
|
1,399 sqft
|
|
|
|
Jalan Mangga 2
|
RM150,000
|
RM107
|
1,399 sqft
|
|
|
|
Jalan Mangga8
|
RM140,000
|
RM100
|
1,399 sqft
|
|
|
Jalan Mangga 8
|
RM265,000
|
RM100
|
2,648 sqft
|
|
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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 Bandar
Market Snapshot
ResidentialRM145,000
RM100 psfMedian transaction price
Taman Permai, 42700 Banting, Selangor, Malaysia
MapsTaman. Permai Jaya in Kuala Langat, Selangor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM145K and a median price per square foot (PSF) of RM100.
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 RM145K, with most transactions falling within a stable range of RM130K to RM160K, and a typical market range of RM130K to RM177K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM100, with most transactions between RM93 and RM107. The usual range is RM85.21 to RM114.96, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.75 and an average deviation (MAD) of RM7 indicate a highly stable PSF trend across properties.
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.