Taman. Permai Jaya

Taman Permai, 42700 Banting, Selangor, Malaysia

Property Transactions

9 subsales found

Median
RM140,000
PSF
RM100
Price Size
Period
transactions middle 50% (P25–P75)
RM253,000
Jalan Mangga 6
1,399 sqft RM181 PSF
RM200,000
Jalan Mangga 3
1,399 sqft RM143 PSF
RM180,000
Jalan Mangga 9
1,399 sqft RM129 PSF
RM135,000
Jalan Mangga 8
1,399 sqft RM96 PSF
RM150,000
Jalan Mangga 2
1,399 sqft RM107 PSF
RM140,000
Jalan Mangga8
1,399 sqft RM100 PSF
RM130,000
Jalan Mangga 6
1,399 sqft RM93 PSF
RM130,000
Jalan Mangga 6
1,399 sqft RM93 PSF
RM130,000
Jalan Mangga 2
1,399 sqft RM93 PSF
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Market Snapshot

Residential

RM140,000

RM100 psf

Median transaction price

Taman. Permai Jaya
© OpenStreetMap · CARTO

Taman Permai, 42700 Banting, Selangor, Malaysia

Maps

Taman. Permai Jaya in Kuala Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM140K 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 RM140K, with most transactions falling within a stable range of RM130K to RM180K, and a typical market range of RM130K to RM172K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM100, though individual units vary from RM71 to RM129 in the core range. The broader market spans RM85.18 to RM114.93, indicating diverse property characteristics. A wider spread (IQR: RM29.75) and deviation (MAD: RM29) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.