Sungai Penchala
60000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
60000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Penchala Indah 2 (Jalan 2/71C)
|
RM740,000
|
RM438
|
1,690 sqft
|
|
|
Off Jalan Sungai Penchala
|
RM1,750,000
|
RM417
|
4,198 sqft
|
|
Selling in Sungai Penchala? Homes here sold for a median of RM1,245,000.
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Sungai Penchala
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 Mukim Kuala Lumpur
Market Snapshot
ResidentialRM1,245,000
RM427 psfMedian transaction price
Sungai Penchala, 60000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsSungai Penchala in Kuala Lumpur, Kuala Lumpur recorded 2 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM1.25 million and a median price per square foot (PSF) of RM427.
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 RM1.25 million, with most transactions falling within a stable range of RM740K to RM1.75 million, and a typical market range of RM1.07 million to RM1.42 million.
Within the Double Storey Terraced category, detached dominated the market, though some variety exists in the market.
For price per square foot, the median is RM427, with most transactions between RM417 and RM438. The usual range is RM406.38 to RM448.38, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.00 and an average deviation (MAD) of RM11 indicate a highly stable PSF trend across properties.
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.