Taman Kinta Permai

Taman Kledang Permai, Sungei Terap, Kinta, Perak, Malaysia

Property Transactions

9 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM267,000
Laluan Kinta Permai 2/9
1,539 sqft RM173 PSF
RM160,000
Laluan Kp 4/29
1,195 sqft RM134 PSF
RM290,000
Laluan Kinta Permai
1,539 sqft RM188 PSF
RM290,000
Laluan Kinta Permai
1,539 sqft RM188 PSF
RM556,000
Laluan Kinta Permai
6,329 sqft RM88 PSF
RM300,000
Laluan Kinta Permai
1,539 sqft RM195 PSF
RM369,000
Laluan Kinta Permai 2/13
3,800 sqft RM97 PSF
RM180,000
Laluan Kp 4/31
1,302 sqft RM138 PSF
RM300,000
Laluan Kinta Permai
1,539 sqft RM195 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM290,000

RM173 psf

Median transaction price

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TAMAN KINTA PERMAI, Taman Kledang Permai, Sungei Terap, Kinta, Perak, Malaysia

Taman Kinta Permai in Kinta, Perak recorded 9 subsale transactions in 2021, with a median price of RM290K and a median price per square foot (PSF) of RM173.

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 RM290K, with most transactions falling within a stable range of RM182K to RM398K, and a typical market range of RM245K to RM335K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM173, though individual units vary from RM134 to RM213 in the core range. The broader market spans RM132.21 to RM214.71, indicating diverse property characteristics. The spread of RM82.50 (IQR) and deviation of RM40 (MAD) suggest moderate price variations reflecting different property features.

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.