| LIST.MY · Taman Lim, Ipoh | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Dindings
|
RM310,000
|
RM114
|
2,711 sqft
|
|
Semi-D |
|
Jalan Sitiawan
|
RM380,000
|
RM141
|
2,702 sqft
|
|
Semi-D |
| 2022 | |||||
|
Jalan Dindings
|
RM380,000
|
RM141
|
2,701 sqft
|
|
Semi-D |
|
Jalan Dindings
|
RM328,000
|
RM121
|
2,701 sqft
|
|
Semi-D |
| 2021 | |||||
|
Jalan Dindings
|
RM320,000
|
RM118
|
2,701 sqft
|
|
Semi-D |
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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 Ipoh Utara
Market Snapshot
ResidentialRM328,000
RM121 psfMedian transaction price
TAMAN LIM, IPOH, Kampung Chan Thye Lee, Ipoh Utara, 30670, Kinta, Perak, Malaysia
Taman Lim, Ipoh in Kinta, Perak recorded 5 subsale transactions between 2021 and 2026, sized between 2,675 and 2,724 sqft, with a median price of RM328K and a median price per square foot (PSF) of RM121.
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 RM328K, with most transactions falling within a stable range of RM310K to RM358K, and a typical market range of RM310K to RM380K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.
For price per square foot, the median is RM121, with most transactions between RM110 and RM133. The usual range is RM101.58 to RM141.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.75 and an average deviation (MAD) of RM11 indicate a highly stable PSF trend across properties.
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.