| LIST.MY · Taman Seri Bercham | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Lebuh Bercham Timur
|
RM205,000
|
RM261
|
786 sqft
|
|
1-Sty Shop |
|
Lebuh Bercham Timur 1/2
|
RM280,000
|
RM232
|
1,206 sqft
|
|
2-Sty Terrace |
|
Lebuh Bercham (T)
|
RM200,000
|
RM166
|
1,206 sqft
|
|
2-Sty Terrace |
|
Leboh Bercham (T) 1/4
|
RM260,000
|
RM216
|
1,206 sqft
|
|
2-Sty Terrace |
Selling in Taman Seri Bercham? Homes here sold for a median of RM232,500.
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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
Market Snapshot
ResidentialRM260,000
RM216 psfMedian transaction price
TAMAN SERI BERCHAM, Bercham, Ulu Kinta, 31150, Kinta, Perak, Malaysia
Taman Seri Bercham in Kinta, Perak recorded 4 subsale transactions in 2023, with a median price of RM233K and a median price per square foot (PSF) of RM224.
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 RM233K, with most transactions falling within a stable range of RM200K to RM267K, and a typical market range of RM213K to RM253K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM224, with core pricing between RM189 and RM258. Market pricing typically extends from RM202.46 to RM245.46, reflecting moderate variation in unit pricing. The spread of RM43.00 (IQR) and deviation of RM35 (MAD) suggest moderate price variations reflecting different property features.
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.