Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bintang 2
|
RM360,000
|
RM234
|
1,540 sqft
|
|
|
|
Jalan Bintang 2
|
RM270,000
|
RM175
|
1,540 sqft
|
|
|
|
Jalan Bintang 2
|
RM350,000
|
RM227
|
1,540 sqft
|
|
|
Jalan Utama 2
|
RM700,000
|
RM239
|
2,928 sqft
|
|
|
|
Jalan Bintang Utama 1
|
RM730,000
|
RM249
|
2,928 sqft
|
|
|
|
Jalan Utama 2
|
RM620,000
|
RM212
|
2,928 sqft
|
|
Selling in Taman Bintang? Homes here sold for a median of RM490,000.
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Taman Bintang
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
RM350,000
RM227 psfMedian transaction price
RM700,000
RM239 psfMedian transaction price
Taman Bintang, 81400 Senai, Johor Darul Ta'zim, Malaysia
MapsTaman Bintang in Kulai, Johor recorded 6 subsale transactions in 2022, with a median price of RM490K and a median price per square foot (PSF) of RM231.
This area contains both residential and commercial properties. View 17 residential properties or 12 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM490K, with most transactions falling within a stable range of RM306K to RM674K, and a typical market range of RM340K to RM640K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM231, with core pricing between RM206 and RM255. Market pricing typically extends from RM132.52 to RM328.52, reflecting moderate variation in unit pricing. With an IQR of RM196.00 and MAD of RM24, the PSF demonstrates reasonable consistency across the market.
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.