| LIST.MY · Taman Suria Damai | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Lorong Damai
|
RM482,000
|
RM249
|
1,938 sqft
|
|
2-Sty Terrace |
| 2024 | |||||
|
Lorong Damai
|
RM578,000
|
RM298
|
1,938 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Lorong Damai
|
RM497,000
|
RM257
|
1,938 sqft
|
|
2-Sty Terrace |
|
Lorong Damai
|
RM498,000
|
RM257
|
1,938 sqft
|
|
2-Sty Terrace |
Selling in Taman Suria Damai? Homes here sold for a median of RM497,500.
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Taman Suria Damai
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 Kamunting
Market Snapshot
ResidentialRM497,500
RM257 psfMedian transaction price
TAMAN SURIA DAMAI, Kamunting, Larut Matang, Perak, Malaysia
Taman Suria Damai in Larut Matang, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 1,925 and 1,974 sqft, with a median price of RM498K and a median price per square foot (PSF) of RM257.
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 RM498K, with most transactions falling within a stable range of RM482K to RM535K, and a typical market range of RM496K to RM499K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM257, with most transactions between RM237 and RM276. The usual range is RM256.27 to RM257.27, showing that most units are priced quite close to each other. A typical spread (IQR) of RM1.00 and an average deviation (MAD) of RM19 indicate a highly stable PSF trend across properties.
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.