Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Rambai 1
|
RM220,000
|
RM200
|
1,098 sqft
|
|
|
|
Jalan Rambai 1
|
RM250,000
|
RM228
|
1,098 sqft
|
|
|
|
Jalan Rambai 11
|
RM220,000
|
RM200
|
1,098 sqft
|
|
|
|
Jalan Rambai 7
|
RM280,000
|
RM255
|
1,098 sqft
|
|
|
Jalan Rambai 2
|
RM532,000
|
RM317
|
1,679 sqft
|
|
|
Jalan Rambai 10
|
RM350,000
|
RM141
|
2,486 sqft
|
|
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Rumah Murah Sungai. Jarom
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 Jenjarom
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Market Snapshot
ResidentialRM250,000
RM200 psfMedian transaction price
Taman Rambai Indah, 42600 Jenjarom, Selangor, Malaysia
MapsTaman Rambai Indah in Kuala Langat, Selangor recorded 6 subsale transactions in 2022, with a median price of RM265K and a median price per square foot (PSF) of RM214.
This area contains both residential and commercial properties. View 23 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM265K, with most transactions falling within a stable range of RM220K to RM374K, and a typical market range of RM238K to RM293K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM214, though individual units vary from RM160 to RM268 in the core range. The broader market spans RM186.04 to RM242.04, indicating diverse property characteristics. A wider spread (IQR: RM56.00) and deviation (MAD: RM54) 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.