Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Cendawan 1/4
|
RM275,000
|
RM196
|
1,400 sqft
|
|
|
|
Jalan Cendawan 4/4
|
RM400,000
|
RM286
|
1,399 sqft
|
|
|
Taman Bayam Indah (Fasa Ii)
|
RM870,000
|
RM177
|
4,919 sqft
|
|
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Nearby areas in Bandar Lunas
La Casa Lunas
Bandar Permata Lunas
Taman Kucai Indah Ii
Taman Makmur Fasa 1
Taman Kulim Square
Taman Sri Sentosa
Taman Desa Makmor Fasa 1
Taman Kangkong Fasa 1
Taman Lunas Indah
Taman Kijang
Taman Desa Seni
Taman Sejahtera Fasa 1
Taman Bayam Fasa 1
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 Bandar Lunas
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Market Snapshot
ResidentialRM337,500
RM241 psfMedian transaction price
Taman Bayam Fasa 1 in Kulim, Kedah recorded 3 subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM196.
This area contains both residential and commercial properties. View 5 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 RM400K, with most transactions falling within a stable range of RM275K to RM656K, and a typical market range of RM328K to RM472K.
Most transactions involved low-cost house, with moderate diversity in property types available.
Price per square foot shows a median of RM196, though individual units vary from RM148 to RM244 in the core range. The broader market spans RM142.75 to RM249.25, indicating diverse property characteristics. The spread of RM106.50 (IQR) and deviation of RM48 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.