Taman Matang Damai

Perak, Larut Matang, Simpang

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM311,000
Taman Matang Damai
1,539 sqft RM202 PSF
RM311,000
Taman Matang Damai
1,539 sqft RM202 PSF
RM311,000
Taman Matang Damai
1,539 sqft RM202 PSF
RM288,000
Taman Matang Damai
1,539 sqft RM187 PSF
RM311,000
Taman Matang Damai
1,539 sqft RM202 PSF
RM288,000
Taman Matang Damai
1,539 sqft RM187 PSF
RM304,000
Taman Matang Damai
1,539 sqft RM198 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Simpang

Market Snapshot

Residential

RM311,000

RM202 psf

Median transaction price

Taman Matang Damai
© OpenStreetMap · CARTO

Taman Matang Damai, Larut Matang, Perak

Taman Matang Damai in Larut Matang, Perak recorded 7 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM311K and a median price per square foot (PSF) of RM202.

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 RM311K, with most transactions falling within a stable range of RM301K to RM311K, and a typical market range of RM288K to RM311K.

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

For price per square foot, the median is RM202, with most transactions between RM196 and RM209. The usual range is RM163.55 to RM240.55, showing that most units are priced quite close to each other. With an IQR of RM77.00 and MAD of RM7, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.