Taman Simpang Makmur

Perak, Larut Matang, Asam Kumbang

Property Transactions

10 subsales found

Period
transactions middle 50% (P25–P75)
RM320,000
Lorong Penaga
1,227 sqft RM261 PSF
RM290,000
Lorong Penaga
1,227 sqft RM236 PSF
RM225,000
Lorong Mempisang
1,195 sqft RM188 PSF
RM220,000
Lorong Jambul Merak
1,195 sqft RM184 PSF
RM253,000
Lorong Jambul Merak.
1,195 sqft RM212 PSF
RM250,000
Lorong Palma
1,195 sqft RM209 PSF
RM310,000
Lorong Saga
1,227 sqft RM253 PSF
RM180,000
Lorong Palma
1,195 sqft RM151 PSF
RM270,000
Lorong Penaga
1,227 sqft RM220 PSF
RM230,000
Lorong Semarak Kuning
1,195 sqft RM193 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM251,500

RM211 psf

Median transaction price

Taman Simpang Makmur
© OpenStreetMap · CARTO

Taman Simpang Makmur, Larut Matang, Perak

Taman Simpang Makmur in Larut Matang, Perak recorded 10 subsale transactions between 2021 and 2026, with a median price of RM252K and a median price per square foot (PSF) of RM212.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM252K, with most transactions falling within a stable range of RM223K to RM281K, and a typical market range of RM222K to RM281K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM212, with most transactions between RM191 and RM233. The usual range is RM191.88 to RM231.63, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.75 and an average deviation (MAD) of RM21 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.