| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nilam 17
|
RM 220,000
|
RM 184
|
1,195 sqft
|
|
|
|
Jalan Nilam 17
|
RM 230,000
|
RM 193
|
1,195 sqft
|
|
|
|
Jalan Nilam 17
|
RM 230,000
|
RM 193
|
1,195 sqft
|
|
|
Jalan Nilam 17/1
|
RM 280,000
|
RM 187
|
1,496 sqft
|
|
|
|
Jalan Nilam 17/1
|
RM 330,000
|
RM 221
|
1,496 sqft
|
|
|
Jalan Bunga Raya 3
|
RM 330,000
|
RM 200
|
1,650 sqft
|
|
|
Jalan Nilam 17
|
RM 295,000
|
RM 135
|
2,185 sqft
|
|
|
Jalan Bayan
|
RM 1,075,000
|
RM 361
|
2,982 sqft
|
|
|
|
Jalan Bayan
|
RM 1,000,000
|
RM 335
|
2,982 sqft
|
|
|
Jalan Nilam 17/4
|
RM 150,000
|
RM 34
|
4,456 sqft
|
|
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Market Snapshot
ResidentialRM 230,000
RM 193 psfMedian transaction price
Taman Bunga Raya, 81750 Masai, Johor Darul Ta'zim, Malaysia
MapsTaman Bunga Raya in Johor Bahru, Johor recorded 10 subsale transactions in 2022, with a median price of RM 288K and a median price per square foot (PSF) of RM 193.
This area contains both residential and commercial properties. View 13 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 288K, with most transactions falling within a stable range of RM 150K to RM 604K, and a typical market range of RM 159K to RM 416K.
Most transactions involved low-cost house, with high diversity across multiple property types.
Price per square foot shows a median of RM 193, though individual units vary from RM 105 to RM 280 in the core range. The broader market spans RM 138.38 to RM 246.63, indicating diverse property characteristics. A wider spread (IQR: RM 108.25) and deviation (MAD: RM 88) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.