Taman Lela I

Kamunting, 34600, Larut Matang, Perak, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM320,000
Jalan Puyu
1,399 sqft RM229 PSF
RM380,000
Jalan Seluang
1,281 sqft RM297 PSF
RM110,000
Jalan Sembilang
1,195 sqft RM92 PSF
RM215,000
Jalan Semilang
1,195 sqft RM180 PSF
RM320,000
Jalan Seluang
1,970 sqft RM162 PSF
RM220,000
Jalan Kelah
1,195 sqft RM184 PSF
RM168,000
Jalan Sepat
1,195 sqft RM141 PSF
RM180,000
Jalan Kaloi
1,195 sqft RM151 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lela I? Homes here sold for a median of RM217,500.

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Market Snapshot

Residential

RM197,500

RM165 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 8 subsale transactions in 2023, with a median price of RM218K and a median price per square foot (PSF) of RM171.

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 RM218K, with most transactions falling within a stable range of RM132K to RM303K, and a typical market range of RM172K to RM263K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM171, though individual units vary from RM114 to RM229 in the core range. The broader market spans RM149.95 to RM192.45, indicating diverse property characteristics. A wider spread (IQR: RM42.50) and deviation (MAD: RM58) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.