| Price | PSF | Size | Date | Type |
|---|
|
RM795,000
|
RM300
|
2,648 sqft
|
|
|
|
RM1,100,000
|
RM415
|
2,648 sqft
|
|
|
|
RM850,000
|
RM321
|
2,648 sqft
|
|
|
RM1,200,000
|
RM334
|
3,595 sqft
|
|
|
|
RM1,200,000
|
RM334
|
3,595 sqft
|
|
|
|
RM1,200,000
|
RM334
|
3,595 sqft
|
|
|
RM1,750,000
|
RM405
|
4,316 sqft
|
|
|
|
RM1,400,000
|
RM324
|
4,316 sqft
|
|
|
RM1,800,000
|
RM429
|
4,198 sqft
|
|
|
|
RM1,700,000
|
RM405
|
4,198 sqft
|
|
Selling in Medan Meru Bistari? Homes here sold for a median of RM1,200,000.
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Medan Meru Bistari
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
CommercialRM1,200,000
RM477 psfMedian transaction price
Medan Meru Bistari in Kinta, Perak recorded 14 subsale transactions between 2021 and 2026, with a median price of RM1.20 million and a median price per square foot (PSF) of RM334.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.20 million, with most transactions falling within a stable range of RM825K to RM1.58 million, and a typical market range of RM850K to RM1.55 million.
Most transactions involved 3 - 3 1/2 storey shop, though some variety exists in the market.
Price per square foot shows a median of RM334, though individual units vary from RM229 to RM438 in the core range. The broader market spans RM177.65 to RM489.91, indicating diverse property characteristics. A wider spread (IQR: RM312.25) and deviation (MAD: RM105) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.