| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bunga Raya 9
|
RM 195,000
|
RM 279
|
700 sqft
|
|
|
|
Jalan Bunga Raya 7
|
RM 180,000
|
RM 257
|
700 sqft
|
|
|
|
Jalan Bunga Raya 15
|
RM 146,000
|
RM 209
|
700 sqft
|
|
|
|
Jalan Bunga Raya 11
|
RM 130,000
|
RM 186
|
700 sqft
|
|
|
|
Jalan Bunga Raya 9
|
RM 170,000
|
RM 243
|
700 sqft
|
|
|
|
Jalan Bunga Raya 15
|
RM 146,000
|
RM 209
|
700 sqft
|
|
|
Jalan Bunga Raya 13
|
RM 225,000
|
RM 194
|
1,163 sqft
|
|
|
Jalan Bunga Raya 13
|
RM 150,000
|
RM 83
|
1,808 sqft
|
|
|
Jalan Bunga Raya 9
|
RM 130,000
|
RM 69
|
1,884 sqft
|
|
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Market Snapshot
ResidentialRM 146,000
RM 190 psfMedian transaction price
Taman Sri Lalang, 15, Jln Bunga Raya 7, Kampung Seri Lalang, 86000 Kluang, Johor Darul Ta'zim, Malaysia
MapsTaman Sri Lalang in Batu Pahat, Johor recorded 18 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 146K and a median price per square foot (PSF) of RM 190.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 146K, with most transactions falling within a stable range of RM 102K to RM 190K, and a typical market range of RM 114K to RM 179K.
Within the Low-Cost House category, low-cost house dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM 190, though individual units vary from RM 123 to RM 256 in the core range. The broader market spans RM 139.68 to RM 239.68, indicating diverse property characteristics. A wider spread (IQR: RM 100.00) and deviation (MAD: RM 66) 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.