Kampong Kuang
Lorong Orkid, Kuang, 47100 Sungai Buloh, Selangor, Malaysia
Lorong Orkid, Kuang, 47100 Sungai Buloh, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Melati
|
RM700,000
|
RM124
|
5,662 sqft
|
|
|
Off Lorong Melati
|
RM780,000
|
RM130
|
5,996 sqft
|
|
|
Jalan Melati
|
RM1,200,000
|
RM175
|
6,846 sqft
|
|
|
Lorong Pinggiran Setia, Batu
|
RM700,000
|
RM98
|
7,169 sqft
|
|
|
|
Lorong Pinggiran Setia
|
RM800,000
|
RM112
|
7,169 sqft
|
|
|
Lorong Melati
|
RM2,400,000
|
RM255
|
9,397 sqft
|
|
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Kampong Kuang
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 Rawang
Market Snapshot
ResidentialRM790,000
RM127 psfMedian transaction price
Lorong Orkid, Kuang, 47100 Sungai Buloh, Selangor, Malaysia
MapsKampong Kuang in Gombak, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM780K and a median price per square foot (PSF) of RM130.
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 RM780K, with most transactions falling within a stable range of RM700K to RM860K, and a typical market range of RM630K to RM930K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM130, though individual units vary from RM98 to RM162 in the core range. The broader market spans RM96.60 to RM163.60, indicating diverse property characteristics. The spread of RM67.00 (IQR) and deviation of RM32 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.