Taman Simpang Setia

Asam Kumbang, 34700, Larut Matang, Perak, Malaysia

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM265,000
Lorong SS 8
1,173 sqft RM226 PSF
RM185,000
Lorong SS 8
1,173 sqft RM158 PSF
RM253,000
Lorong SS 8
1,173 sqft RM216 PSF
RM400,000
Lorong SS 5
1,130 sqft RM354 PSF
RM250,000
Lorong SS 8
1,173 sqft RM213 PSF
RM340,000
Lorong SS 8
1,130 sqft RM301 PSF
RM355,000
Lorong SS 8
1,130 sqft RM314 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM265,000

RM226 psf

Median transaction price

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TAMAN SIMPANG SETIA, Asam Kumbang, 34700, Larut Matang, Perak, Malaysia

Taman Simpang Setia in Larut Matang, Perak recorded 7 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM265K and a median price per square foot (PSF) of RM226.

This area contains both residential and commercial properties. View 17 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM265K, with most transactions falling within a stable range of RM196K to RM334K, and a typical market range of RM213K to RM317K.

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

Price per square foot shows a median of RM226, though individual units vary from RM161 to RM290 in the core range. The broader market spans RM177.11 to RM274.61, indicating diverse property characteristics. A wider spread (IQR: RM97.50) and deviation (MAD: RM64) 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.