Rumah Murah Sungai. Jarom
Jalan Haji Mokhtar, Kampung Jenjarom, 42600 Jenjarom, Selangor, Malaysia
Jalan Haji Mokhtar, Kampung Jenjarom, 42600 Jenjarom, Selangor, Malaysia
| LIST.MY · Rumah Murah Sungai. Jarom | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Jambu Mawar 4
|
RM300,000
|
RM176
|
1,700 sqft
|
|
LC House |
| 2021 | |||||
|
Rumah Murah Sungaijarom
|
RM280,000
|
RM165
|
1,700 sqft
|
|
LC House |
Selling in Rumah Murah Sungai. Jarom? Homes here sold for a median of RM290,000.
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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
Jalan Haji Mokhtar, Kampung Jenjarom, 42600 Jenjarom, Selangor, Malaysia
MapsRumah Murah Sungai. Jarom in Kuala Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 1,675 and 1,724 sqft, with a median price of RM290K and a median price per square foot (PSF) of RM171.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM290K, with most transactions falling within a stable range of RM280K to RM300K, and a typical market range of RM280K to RM300K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM171, with most transactions between RM165 and RM176. The usual range is RM154.34 to RM186.84, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.50 and an average deviation (MAD) of RM6 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.