Taman Lela I

Kamunting, 34600, Larut Matang, Perak, Malaysia

Property Transactions

15 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM240,000
Jalan Toman
1,195 sqft · RM201 PSF
RM220,000
Jalan Limbat
1,195 sqft · RM184 PSF
RM190,000
Jalan Sepat
1,195 sqft · RM159 PSF
RM200,000
Jalan Sepat
1,195 sqft · RM167 PSF
RM220,000
Jalan Kelah
1,195 sqft · RM184 PSF
RM230,000
Jalan Haruan
1,195 sqft · RM193 PSF
+8 more
1,400 sqft
Terrace
RM320,000
Jalan Puyu
1,399 sqft · RM229 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM200,000

RM167 psf

Median transaction price

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TAMAN LELA I, Kamunting, 34600, Larut Matang, Perak, Malaysia

Taman Lela I in Larut Matang, Perak recorded 15 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM167.

This area contains both residential and commercial properties. View 16 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM200K, with most transactions falling within a stable range of RM153K to RM247K, and a typical market range of RM155K to RM246K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM167, with core pricing between RM134 and RM201. Market pricing typically extends from RM146.14 to RM188.64, reflecting moderate variation in unit pricing. The spread of RM42.50 (IQR) and deviation of RM33 (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.