Property Type
| Price | PSF | Size | Date | Type |
|---|
|
RM1,200,000
|
RM200
|
5,996 sqft
|
|
3-Sty Shop |
|
RM60,000
|
RM56
|
1,066 sqft
|
|
LC House |
|
RM400,000
|
RM117
|
3,423 sqft
|
|
1-Sty Shop |
|
RM200,000
|
RM63
|
3,186 sqft
|
|
|
|
RM90,000
|
RM25
|
3,539 sqft
|
|
|
RM300,000
|
RM65
|
4,621 sqft
|
|
|
|
RM300,000
|
RM65
|
4,621 sqft
|
|
Selling in Kampung Baru Simpang Rengam? Homes here sold for a median of RM1,050,000.
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Kampung Baru Simpang Rengam
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 Ulu Benut
Kampung Baru, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia
MapsKampung Baru Simpang Rengam in Kluang, Johor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM1.05 million and a median price per square foot (PSF) of RM71.
This area contains both residential and commercial properties. View 1 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.05 million, with most transactions falling within a stable range of RM675K to RM1.43 million, and a typical market range of RM739K to RM1.36 million.
Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.
Price per square foot shows a median of RM71, though individual units vary from RM0 to RM224 in the core range. The broader market spans RM0.00 to RM176.44, indicating diverse property characteristics. A wider spread (IQR: RM210.00) and deviation (MAD: RM153) 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.