| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong 1
|
RM230,000
|
RM193
|
1,195 sqft
|
|
|
|
Lorong 1
|
RM200,000
|
RM167
|
1,195 sqft
|
|
|
Lorong 1
|
RM240,000
|
RM184
|
1,302 sqft
|
|
|
|
Lorong 1
|
RM223,000
|
RM171
|
1,302 sqft
|
|
|
|
Lorong 3
|
RM200,000
|
RM154
|
1,302 sqft
|
|
|
|
Lorong 1
|
RM230,000
|
RM177
|
1,302 sqft
|
|
|
|
Lorong 2
|
RM220,000
|
RM169
|
1,302 sqft
|
|
|
|
Lorong 2
|
RM196,000
|
RM150
|
1,302 sqft
|
|
|
|
Lorong 1
|
RM200,000
|
RM154
|
1,302 sqft
|
|
|
|
Lorong 3
|
RM160,000
|
RM123
|
1,302 sqft
|
|
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Taman Pengkalan 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 Pengkalan Aor
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Market Snapshot
ResidentialRM210,000
RM168 psfMedian transaction price
Taman Pengkalan Makmur, Larut Matang, Perak
Taman Pengkalan Makmur in Larut Matang, Perak recorded 10 subsale transactions between 2021 and 2026, with a median price of RM210K and a median price per square foot (PSF) of RM169.
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 RM210K, with most transactions falling within a stable range of RM197K to RM224K, and a typical market range of RM196K to RM224K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM169, with most transactions between RM155 and RM183. The usual range is RM158.17 to RM179.67, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.50 and an average deviation (MAD) of RM14 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.