| Road | Price | PSF | Size | Date | Type |
|---|
|
Dataran Bercham Selatan 1
|
RM143,000
|
RM156
|
915 sqft
|
|
|
|
M.b Selatan 4
|
RM180,000
|
RM197
|
915 sqft
|
|
|
|
Medan Bercham Selatan 4
|
RM164,000
|
RM179
|
915 sqft
|
|
|
|
Dataran Bercham Selatan 3
|
RM133,000
|
RM145
|
915 sqft
|
|
|
|
Dataran Bercham Selatan 2
|
RM112,000
|
RM122
|
915 sqft
|
|
|
Persiaran Bercham Selatan 13
|
RM250,000
|
RM244
|
1,023 sqft
|
|
2-Sty Terrace |
|
Medan Bercham Selatan 3
|
RM180,000
|
RM184
|
980 sqft
|
|
LC House |
Selling in Taman Syukur? Homes here sold for a median of RM164,000.
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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
ResidentialRM164,000
RM179 psfMedian transaction price
Taman Syukur, Kinta, Perak
Taman Syukur in Kinta, Perak recorded 7 subsale transactions in 2022, with a median price of RM164K and a median price per square foot (PSF) of RM179.
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 RM164K, with most transactions falling within a stable range of RM123K to RM205K, and a typical market range of RM133K to RM195K.
Most transactions involved low-cost house, though some variety exists in the market.
Price per square foot shows a median of RM179, though individual units vary from RM143 to RM216 in the core range. The broader market spans RM149.50 to RM209.00, indicating diverse property characteristics. The spread of RM59.50 (IQR) and deviation of RM37 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.