| Road | Price | PSF | Size | Date | Type |
|---|
|
Lebuh Bercham Timur
|
RM205,000
|
RM261
|
786 sqft
|
|
|
Lebuh Bercham (T) 1/4
|
RM335,000
|
RM278
|
1,206 sqft
|
|
|
|
Lebuh Bercham Timur 1/6
|
RM320,000
|
RM265
|
1,206 sqft
|
|
|
|
Lebuh Bercham Timur 1/3
|
RM290,000
|
RM241
|
1,206 sqft
|
|
|
|
Lebuh Bercham 1/5
|
RM300,000
|
RM249
|
1,206 sqft
|
|
|
|
Lebuh Bercham Timur 1/4
|
RM283,000
|
RM235
|
1,206 sqft
|
|
|
|
Lebuh Bercham Timur 1/5
|
RM260,000
|
RM216
|
1,206 sqft
|
|
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Taman Seri Bercham
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
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Market Snapshot
ResidentialRM281,500
RM256 psfMedian transaction price
TAMAN SERI BERCHAM, Bercham, Ulu Kinta, 31150, Kinta, Perak, Malaysia
Taman Seri Bercham in Kinta, Perak recorded 17 subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM235.
This area contains both residential and commercial properties. View 16 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 RM280K, with most transactions falling within a stable range of RM259K to RM301K, and a typical market range of RM260K to RM300K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM235, with most transactions between RM218 and RM252. The usual range is RM213.25 to RM256.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.00 and an average deviation (MAD) of RM17 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.