| LIST.MY · Taman Simpang Makmur | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Lorong Penaga
|
RM320,000
|
RM261
|
1,227 sqft
|
|
2-Sty Terrace |
|
Lorong Penaga
|
RM290,000
|
RM236
|
1,227 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Lorong Saga
|
RM310,000
|
RM253
|
1,227 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Lorong Penaga
|
RM270,000
|
RM220
|
1,227 sqft
|
|
2-Sty Terrace |
Selling in Taman Simpang Makmur? Homes here sold for a median of RM300,000.
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Taman Simpang Makmur
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 Asam Kumbang
Market Snapshot
ResidentialRM300,000
RM244 psfMedian transaction price
Taman Simpang Makmur, Larut Matang, Perak
Taman Simpang Makmur in Larut Matang, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM300K and a median price per square foot (PSF) of RM244.
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 RM300K, with most transactions falling within a stable range of RM281K to RM319K, and a typical market range of RM271K to RM320K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM244, with most transactions between RM229 and RM260. The usual range is RM224.61 to RM264.36, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.75 and an average deviation (MAD) of RM16 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.