Property Type
| LIST.MY · Taman Loke Lim | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Tkt Loke Lim
|
RM220,000
|
RM133
|
1,650 sqft
|
|
Terrace |
|
Selasar Loke Lim
|
RM180,000
|
RM117
|
1,540 sqft
|
|
Terrace |
|
Persiaran Loke Lim
|
RM350,000
|
RM149
|
2,347 sqft
|
|
2-Sty Shop |
|
Tingkat Loke Lim
|
RM200,000
|
RM130
|
1,540 sqft
|
|
Terrace |
|
Hala Loke Lim
|
RM180,000
|
RM117
|
1,541 sqft
|
|
Terrace |
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Taman Loke Lim
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
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Market Snapshot
ResidentialRM190,000
RM123 psfMedian transaction price
TAMAN LOKE LIM, 乐林园, Ulu Kinta, 30010, Kinta, Perak, Malaysia
Taman Loke Lim in Kinta, Perak recorded 5 subsale transactions in 2023, with a median price of RM200K and a median price per square foot (PSF) of RM130.
This area contains both residential and commercial properties. View 18 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM200K, with most transactions falling within a stable range of RM180K to RM264K, and a typical market range of RM180K to RM248K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM130, with most transactions between RM118 and RM142. The usual range is RM111.62 to RM148.12, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.50 and an average deviation (MAD) of RM12 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.