Taman Simpang Makmur Ii

Perak, Larut Matang, Asam Kumbang

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM180,000
Lorong Cemara
1,399 sqft · RM129 PSF
RM180,000
Lorong Jati.
1,399 sqft · RM129 PSF
1,600 sqft
Terrace
RM268,000
Lorong Pulai
1,604 sqft · RM167 PSF
RM210,000
Lorong Pulai
1,604 sqft · RM131 PSF
RM260,000
Lorong Perupok
1,604 sqft · RM162 PSF
1,800 sqft
Terrace
RM200,000
Lorong Mengkelung
1,798 sqft · RM111 PSF
2,500 sqft
Terrace
RM418,000
Taman Simpang Makmur Ii
2,486 sqft · RM168 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM210,000

RM131 psf

Median transaction price

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Taman Simpang Makmur Ii, Larut Matang, Perak

Taman Simpang Makmur Ii in Larut Matang, Perak recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM210K and a median price per square foot (PSF) of RM131.

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 RM210K, with most transactions falling within a stable range of RM180K to RM288K, and a typical market range of RM180K to RM252K.

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 RM131, with core pricing between RM110 and RM152. Market pricing typically extends from RM111.82 to RM150.07, reflecting moderate variation in unit pricing. The spread of RM38.25 (IQR) and deviation of RM21 (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.