Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Laluan Pengkalan Timah 14
|
RM160,000
|
RM136
|
1,173 sqft
|
|
|
|
Lengkok Pengkalan Timah
|
RM160,000
|
RM136
|
1,173 sqft
|
|
|
|
Laluan Pengkalan Timah 14
|
RM198,000
|
RM169
|
1,173 sqft
|
|
|
|
Lengkok Pengkalan Timah
|
RM240,000
|
RM205
|
1,173 sqft
|
|
|
Lengkok Pengkalan Timah
|
RM260,000
|
RM79
|
3,305 sqft
|
|
Selling in Taman Pengkalan Timah? Homes here sold for a median of RM198,000.
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Taman Pengkalan Timah
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 Ulu Kinta
Market Snapshot
ResidentialRM198,000
RM136 psfMedian transaction price
Taman Pengkalan Timah in Kinta, Perak recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM198K and a median price per square foot (PSF) of RM136.
This area contains both residential and commercial properties. View 18 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM198K, with most transactions falling within a stable range of RM160K to RM239K, and a typical market range of RM168K to RM229K.
Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM136, though individual units vary from RM95 to RM178 in the core range. The broader market spans RM114.62 to RM158.12, indicating diverse property characteristics. A wider spread (IQR: RM43.50) and deviation (MAD: RM42) indicate significant PSF variations, likely due to diverse property types or conditions.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.