| LIST.MY · Taman Ipoh | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Lau Pak Khuan
|
RM500,000
|
RM314
|
1,593 sqft
|
|
2-Sty Terrace |
|
Jalan Too Jee
|
RM630,000
|
RM395
|
1,593 sqft
|
|
2-Sty Terrace |
|
Lebuhraya Sungai Senam
|
RM412,000
|
RM257
|
1,604 sqft
|
|
2-Sty Terrace |
| 2021 | |||||
|
Lebuh Raya Sungai Senam
|
RM370,000
|
RM231
|
1,604 sqft
|
|
2-Sty Terrace |
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Taman Ipoh
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ulu Kinta
Market Snapshot
ResidentialRM456,000
RM285 psfMedian transaction price
Taman Ipoh, 31400 Ipoh, Perak, Malaysia
MapsTaman Ipoh in Kinta, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 1,575 and 1,624 sqft, with a median price of RM456K and a median price per square foot (PSF) of RM285.
This area contains both residential and commercial properties. View 107 residential properties or 7 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM456K, with most transactions falling within a stable range of RM370K to RM556K, and a typical market range of RM370K to RM556K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM285, though individual units vary from RM222 to RM349 in the core range. The broader market spans RM254.87 to RM315.87, indicating diverse property characteristics. The spread of RM61.00 (IQR) and deviation of RM63 (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.