| Road | Price | PSF | Size | Date | Type |
|---|
|
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 9
|
RM 150,000
|
RM 214
|
700 sqft
|
|
|
|
Jalan Bunga Raya 15
|
RM 130,000
|
RM 186
|
700 sqft
|
|
|
|
Jalan Bunga Raya 9
|
RM 65,000
|
RM 93
|
700 sqft
|
|
|
|
Jalan Bunga Raya 11
|
RM 80,000
|
RM 114
|
700 sqft
|
|
|
|
Jalan Bunga Raya 15
|
RM 175,000
|
RM 250
|
700 sqft
|
|
|
Jalan Bunga Raya 2
|
RM 170,000
|
RM 110
|
1,539 sqft
|
|
|
|
Jalan Bunga Raya 10
|
RM 220,000
|
RM 143
|
1,539 sqft
|
|
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Market Snapshot
ResidentialRM 148,000
RM 186 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 10 subsale transactions in 2023, with a median price of RM 148K and a median price per square foot (PSF) of RM 186.
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 148K, with most transactions falling within a stable range of RM 105K to RM 191K, and a typical market range of RM 116K to RM 181K.
Most transactions involved low-cost house, with moderate diversity in property types available.
Price per square foot shows a median of RM 186, though individual units vary from RM 132 to RM 239 in the core range. The broader market spans RM 135.81 to RM 235.81, indicating diverse property characteristics. A wider spread (IQR: RM 100.00) and deviation (MAD: RM 54) 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.