Taman Rapat Permai

Ulu Kinta, Kinta, Perak, Malaysia

Property Transactions

10 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM331,000
Jalan Rapat Permai 18
1,561 sqft RM212 PSF
RM340,000
Jalan Rapat Permai 18
1,561 sqft RM218 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
RM358,000
Jalan Rapat Permai 18
1,561 sqft RM229 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM358,000

RM229 psf

Median transaction price

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TAMAN RAPAT PERMAI, Ulu Kinta, Kinta, Perak, Malaysia

Taman Rapat Permai in Kinta, Perak recorded 10 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM358K and a median price per square foot (PSF) of RM229.

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 RM358K, with most transactions falling within a stable range of RM349K to RM358K, and a typical market range of RM331K to RM358K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM229, with most transactions between RM223 and RM235. The usual range is RM197.12 to RM261.62, showing that most units are priced quite close to each other. With an IQR of RM64.50 and MAD of RM6, the PSF demonstrates reasonable consistency across the market.

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.