Kampung Baru Wah Loong

Perak, Kampar, Mukim Kampar

Property Transactions

16 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM145,000
1,485 sqft
RM98 PSF
RM65,000
1,335 sqft
RM49 PSF
RM105,000
2,336 sqft
RM45 PSF · Terrace
RM60,000
1,076 sqft
RM56 PSF · LC House
RM130,000
1,496 sqft
RM87 PSF · Terrace
RM55,000
1,184 sqft
RM46 PSF · LC House
RM85,000
1,249 sqft
RM68 PSF
RM138,000
1,399 sqft
RM99 PSF
RM127,000
1,195 sqft
RM106 PSF
RM55,000
1,132 sqft
RM49 PSF
RM120,000
1,539 sqft
RM78 PSF
RM120,000
1,087 sqft
RM110 PSF
RM75,000
1,819 sqft
RM41 PSF
RM200,000
1,539 sqft
RM130 PSF
RM43,000
1,184 sqft
RM36 PSF
RM55,000
1,356 sqft
RM41 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM95,000

RM62 psf

Median transaction price

Kampung Baru Wah Loong in Kampar, Perak recorded 16 subsale transactions between 2021 and 2026, with a median price of RM95K and a median price per square foot (PSF) of RM68.

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 RM95K, with most transactions falling within a stable range of RM60K to RM130K, and a typical market range of RM61K to RM130K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM68, though individual units vary from RM47 to RM89 in the core range. The broader market spans RM41.83 to RM94.33, indicating diverse property characteristics. A wider spread (IQR: RM52.50) and deviation (MAD: RM21) 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.