Bandar Sungai. Emas
Bandar Sungai Emas, 42700 Banting, Selangor, Malaysia
Bandar Sungai Emas, 42700 Banting, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM180,000
|
RM201
|
893 sqft
|
|
|
|
Level 1
|
RM260,000
|
RM291
|
893 sqft
|
|
|
Level 15
|
RM235,000
|
RM171
|
1,378 sqft
|
|
|
|
Level 9
|
RM250,000
|
RM181
|
1,378 sqft
|
|
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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 Pekan Sungai Manggis
Market Snapshot
RM217,500
RM176 psfMedian transaction price
RM425,000
RM304 psfMedian transaction price
Bandar Sungai Emas, 42700 Banting, Selangor, Malaysia
MapsBandar Sungai. Emas in Kuala Langat, Selangor recorded 8 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM218K and a median price per square foot (PSF) of RM176.
This area contains both residential and commercial properties. View 59 residential properties or 21 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM218K, with most transactions falling within a stable range of RM160K to RM260K, and a typical market range of RM100K to RM260K.
Within the Condo/Apartment category, 2 - 2 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM176, though individual units vary from RM133 to RM219 in the core range. The broader market spans RM136.89 to RM215.14, indicating diverse property characteristics. The spread of RM78.25 (IQR) and deviation of RM43 (MAD) suggest moderate price variations reflecting different property features.
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.