Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong. Desa Makmur 3/3
|
RM 265,000
|
RM 222
|
1,195 sqft
|
|
|
|
Lorong. Desa Makmur 5/3
|
RM 255,000
|
RM 213
|
1,195 sqft
|
|
|
|
Lorong Desa Makmur 1/1
|
RM 139,000
|
RM 116
|
1,195 sqft
|
|
|
|
Lorong. Desa Makmur 3/3
|
RM 180,000
|
RM 151
|
1,195 sqft
|
|
|
|
Lorong. Desa Makmur 6/3
|
RM 230,000
|
RM 193
|
1,195 sqft
|
|
|
|
Lorong. Desa Makmur 2/3
|
RM 140,000
|
RM 117
|
1,195 sqft
|
|
|
Lorong. Desa Makmur
|
RM 96,000
|
RM 62
|
1,539 sqft
|
|
|
Lorong. Desa Makmur 2/3
|
RM 150,000
|
RM 65
|
2,293 sqft
|
|
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Market Snapshot
ResidentialRM 165,000
RM 134 psfMedian transaction price
Taman Desa Makmor Fasa 1 in Kulim, Kedah recorded 8 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 165K and a median price per square foot (PSF) of RM 134.
This area contains both residential and commercial properties. View 14 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 165K, with most transactions falling within a stable range of RM 107K to RM 223K, and a typical market range of RM 96K to RM 243K.
Within the Low-Cost House category, 1 - 1 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 134, though individual units vary from RM 75 to RM 193 in the core range. The broader market spans RM 93.66 to RM 174.16, indicating diverse property characteristics. A wider spread (IQR: RM 80.50) and deviation (MAD: RM 59) 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.