Kampung Jambu

Perak, Larut Matang, Tupai

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
2-Sty Terrace
RM390,000
Jalan Limau Nipis
1,658 sqft · RM235 PSF
2,000 sqft
2-Sty Terrace
RM320,000
Jalan Delima
2,024 sqft · RM158 PSF
2,300 sqft
2-Sty Terrace
RM370,000
Jalan Tembikai
2,282 sqft · RM162 PSF
2,400 sqft
2-Sty Terrace
RM410,000
Jalan Kampung Jambu
2,400 sqft · RM171 PSF
RM350,000
Jalan Kampong Jambu
2,400 sqft · RM146 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM370,000

RM162 psf

Median transaction price

Kampung Jambu
© OpenStreetMap · CARTO

Kampung Jambu, Larut Matang, Perak

Kampung Jambu in Larut Matang, Perak recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM370K and a median price per square foot (PSF) of RM162.

This area contains both residential and commercial properties. View 15 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM370K, with most transactions falling within a stable range of RM339K to RM401K, and a typical market range of RM320K to RM410K.

Within the Double Storey Terraced category, detached dominated the market, with high diversity across multiple property types.

The median PSF stands at RM162, with core pricing between RM131 and RM194. Market pricing typically extends from RM77.14 to RM247.14, reflecting moderate variation in unit pricing. The spread of RM170.00 (IQR) and deviation of RM31 (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.