Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Jujur 2
|
RM335,000
|
RM257
|
1,302 sqft
|
|
|
Jalan Mj 50
|
RM480,000
|
RM308
|
1,561 sqft
|
|
|
Jalan Mj 5
|
RM580,000
|
RM362
|
1,604 sqft
|
|
|
|
Jalan Mj 50
|
RM405,000
|
RM254
|
1,593 sqft
|
|
|
Jalan Manggis Jaya 4
|
RM400,000
|
RM241
|
1,658 sqft
|
|
|
Jalan Mj 5
|
RM750,000
|
RM379
|
1,981 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
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Market Snapshot
ResidentialRM442,500
RM282 psfMedian transaction price
LG 153 Taman Bakti, Banting, Jalan Klang Banting, Kampung Sungai Manggis, 42700 Banting, Selangor, Malaysia
MapsTaman Manggis Jaya in Kuala Langat, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM443K and a median price per square foot (PSF) of RM282.
This area contains both residential and commercial properties. View 28 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM443K, with most transactions falling within a stable range of RM335K to RM581K, and a typical market range of RM335K to RM661K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM282, with core pricing between RM228 and RM336. Market pricing typically extends from RM237.88 to RM326.88, reflecting moderate variation in unit pricing. The spread of RM89.00 (IQR) and deviation of RM54 (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.