Medan Klebang Restu

54, Laluan Klebang Restu 16, 31200 Chemor, Perak, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,600 sqft
Semi-D
RM500,000
Laluan Klebang Restu 8
3,595 sqft · RM139 PSF
RM473,000
Laluan Klebang Restu 15
3,595 sqft · RM132 PSF
RM480,000
Laluan Klebang Restu 9
3,595 sqft · RM134 PSF
RM413,000
Laluan Klebang Restu 14
3,595 sqft · RM115 PSF
RM460,000
Klebang Restu
3,595 sqft · RM128 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM473,000

RM132 psf

Median transaction price

RM329,000

RM209 psf

Median transaction price

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54, Laluan Klebang Restu 16, 31200 Chemor, Perak, Malaysia

Maps

Medan Klebang Restu in Kinta, Perak recorded 5 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM473K and a median price per square foot (PSF) of RM132.

This area contains both residential and commercial properties. View 104 residential properties or 16 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM473K, with most transactions falling within a stable range of RM444K to RM500K, and a typical market range of RM433K to RM500K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM132, with most transactions between RM123 and RM140. The usual range is RM113.07 to RM150.07, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.00 and an average deviation (MAD) of RM8 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.