Kampong Kuang
Lorong Orkid, Kuang, 47100 Sungai Buloh, Selangor, Malaysia
Lorong Orkid, Kuang, 47100 Sungai Buloh, Selangor, Malaysia
| LIST.MY · Kampong Kuang | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Lorong Melati
|
RM2,400,000
|
RM255
|
9,397 sqft
|
|
Bungalow |
|
Lorong Pinggiran Setia, Batu
|
RM700,000
|
RM98
|
7,169 sqft
|
|
Bungalow |
|
Jalan Melati
|
RM700,000
|
RM124
|
5,662 sqft
|
|
Bungalow |
Selling in Kampong Kuang? Homes here sold for a median of RM700,000.
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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
ResidentialRM700,000
RM124 psfMedian transaction price
Lorong Orkid, Kuang, 47100 Sungai Buloh, Selangor, Malaysia
MapsKampong Kuang in Gombak, Selangor recorded 3 subsale transactions in 2023, with a median price of RM700K and a median price per square foot (PSF) of RM124.
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 RM700K, with most transactions falling within a stable range of RM700K to RM1.50 million, and a typical market range of RM700K to RM850K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM124, though individual units vary from RM55 to RM193 in the core range. The broader market spans RM90.14 to RM157.14, indicating diverse property characteristics. A wider spread (IQR: RM67.00) and deviation (MAD: RM69) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.