| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Petaling Jaya
|
RM 260,000
|
RM 192
|
1,356 sqft
|
|
|
|
Lorong Petaling Jaya
|
RM 260,000
|
RM 192
|
1,356 sqft
|
|
|
|
Lorong. 1/2
|
RM 270,000
|
RM 199
|
1,356 sqft
|
|
|
Lorong. Seri Petaling 1/1
|
RM 258,000
|
RM 184
|
1,399 sqft
|
|
|
Lorong Petaling Jaya 1/12
|
RM 400,000
|
RM 237
|
1,690 sqft
|
|
|
Jalan. Petaling 10
|
RM 600,000
|
RM 228
|
2,626 sqft
|
|
|
Lorong Petaling Jaya 9
|
RM 500,000
|
RM 179
|
2,799 sqft
|
|
|
Lorong. Petaling Jaya 9
|
RM 800,000
|
RM 113
|
7,104 sqft
|
|
|
Lorong. Petaling Jaya 2/11
|
RM 880,000
|
RM 82
|
10,699 sqft
|
|
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Market Snapshot
ResidentialRM 335,000
RM 188 psfMedian transaction price
TAMAN PETALING JAYA, Bandar Kulim, Kulim, Kedah, Malaysia
Taman Petaling Jaya in Kulim, Kedah recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 400K and a median price per square foot (PSF) of RM 192.
This area contains both residential and commercial properties. View 8 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 400K, with most transactions falling within a stable range of RM 260K to RM 540K, and a typical market range of RM 258K to RM 570K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM 192, with most transactions between RM 179 and RM 205. The usual range is RM 181.71 to RM 201.71, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 20.00 and an average deviation (MAD) of RM 13 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.