| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM47,000
|
RM91
|
515 sqft
|
|
|
|
Level 3
|
RM40,000
|
RM78
|
515 sqft
|
|
|
|
Level G
|
RM75,000
|
RM146
|
515 sqft
|
|
|
Level 1
|
RM45,000
|
RM84
|
538 sqft
|
|
|
|
Level 1
|
RM47,000
|
RM87
|
538 sqft
|
|
|
|
Level 4
|
RM46,000
|
RM85
|
538 sqft
|
|
|
|
Level 3
|
RM46,000
|
RM85
|
538 sqft
|
|
|
|
Level 4
|
RM60,000
|
RM111
|
538 sqft
|
|
|
|
Level G
|
RM60,000
|
RM111
|
538 sqft
|
|
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Rumah Pangsa 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
ResidentialRM47,000
RM87 psfMedian transaction price
RUMAH PANGSA BERCHAM, Bercham, Ulu Kinta, Kinta, Perak, Malaysia
Rumah Pangsa Bercham in Kinta, Perak recorded 19 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM47K and a median price per square foot (PSF) of RM87.
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 RM47K, with most transactions falling within a stable range of RM35K to RM60K, and a typical market range of RM35K to RM61K.
Within the Low-Cost Flat category, low-cost flat dominated the market, though some variety exists in the market.
Price per square foot shows a median of RM87, though individual units vary from RM62 to RM113 in the core range. The broader market spans RM59.08 to RM115.58, indicating diverse property characteristics. A wider spread (IQR: RM56.50) and deviation (MAD: RM25) indicate significant PSF variations, likely due to diverse property types or conditions.
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.