| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM99,000
|
RM707
|
140 sqft
|
|
|
|
Level 8
|
RM95,000
|
RM679
|
140 sqft
|
|
|
|
Level 2
|
RM87,000
|
RM622
|
140 sqft
|
|
|
|
Level 6
|
RM90,000
|
RM643
|
140 sqft
|
|
|
|
Level 7
|
RM90,000
|
RM643
|
140 sqft
|
|
|
|
Level 9
|
RM91,000
|
RM650
|
140 sqft
|
|
|
|
Level 11
|
RM103,000
|
RM736
|
140 sqft
|
|
|
Level 2
|
RM185,000
|
RM687
|
269 sqft
|
|
|
|
Level 4
|
RM186,000
|
RM691
|
269 sqft
|
|
|
|
Level 1
|
RM69,000
|
RM256
|
269 sqft
|
|
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Unisuites @ Kampar
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 Mukim Kampar
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Market Snapshot
CommercialRM93,000
RM665 psfMedian transaction price
UNISUITES @ Kampar, Mukim Kampar, 31900, Kampar, Perak, Malaysia
Unisuites @ Kampar in Kampar, Perak recorded 12 subsale transactions between 2021 and 2026, with a median price of RM97K and a median price per square foot (PSF) of RM665.
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 RM97K, with most transactions falling within a stable range of RM69K to RM133K, and a typical market range of RM72K to RM122K.
Most transactions involved shop unit/retail lot, with minimal variety in property types.
Price per square foot shows a median of RM665, though individual units vary from RM525 to RM804 in the core range. The broader market spans RM641.62 to RM687.62, indicating diverse property characteristics. The spread of RM46.00 (IQR) and deviation of RM139 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.