| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Utama 3
|
RM525,000
|
RM197
|
2,669 sqft
|
|
|
Jalan Utama 3
|
RM600,000
|
RM206
|
2,917 sqft
|
|
|
|
Jalan Utama 2
|
RM1,200,000
|
RM411
|
2,917 sqft
|
|
|
|
Jalan Utama 3
|
RM580,000
|
RM199
|
2,917 sqft
|
|
|
Jalan Bintang Utama 1
|
RM740,000
|
RM253
|
2,928 sqft
|
|
|
|
Jalan Utama 3
|
RM525,000
|
RM179
|
2,928 sqft
|
|
|
Jalan Utama 3
|
RM725,000
|
RM222
|
3,272 sqft
|
|
Selling in Taman Bintang Utama? Homes here sold for a median of RM600,000.
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Taman Bintang Utama
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 Senai
Market Snapshot
CommercialRM600,000
RM206 psfMedian transaction price
Taman Bintang Utama, 81400 Senai, Johor Darul Ta'zim, Malaysia
MapsTaman Bintang Utama in Kulai, Johor recorded 7 subsale transactions in 2024, with a median price of RM600K and a median price per square foot (PSF) of RM206.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM600K, with most transactions falling within a stable range of RM525K to RM820K, and a typical market range of RM528K to RM673K.
Most transactions involved 2 - 2 1/2 storey shop, with minimal variety in property types.
Price per square foot shows a median of RM206, though individual units vary from RM132 to RM280 in the core range. The broader market spans RM158.69 to RM252.69, indicating diverse property characteristics. A wider spread (IQR: RM94.00) and deviation (MAD: RM74) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.