Taman Ipoh Perdana

Taman Meru Perdana, Ulu Kinta, 30020, Kinta, Perak, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM320,000
Laluan Ipoh Perdana 5
1,475 sqft · RM217 PSF
RM250,000
Laluan Ipoh Perdana 4
1,475 sqft · RM170 PSF
1,800 sqft
2-Sty Terrace
RM638,000
Laluan Ipoh Perdana 5
1,808 sqft · RM353 PSF
2,100 sqft
2-Sty Terrace
RM380,000
Laluan Ipoh Perdana 3
2,088 sqft · RM182 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM350,000

RM199 psf

Median transaction price

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TAMAN IPOH PERDANA, Taman Meru Perdana, Ulu Kinta, 30020, Kinta, Perak, Malaysia

Taman Ipoh Perdana in Kinta, Perak recorded 4 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM199.

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 RM350K, with most transactions falling within a stable range of RM250K to RM497K, and a typical market range of RM250K to RM488K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey semi-detached dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM199, though individual units vary from RM127 to RM272 in the core range. The broader market spans RM184.49 to RM214.49, indicating diverse property characteristics. A wider spread (IQR: RM30.00) and deviation (MAD: RM73) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.