| Price | PSF | Size | Date | Type |
|---|
|
RM150,000
|
RM67
|
2,239 sqft
|
|
Terrace |
|
RM100,000
|
RM88
|
1,141 sqft
|
|
LC House |
|
RM130,000
|
RM74
|
1,755 sqft
|
|
LC House |
|
RM25,000
|
RM22
|
1,141 sqft
|
|
LC House |
|
RM155,000
|
RM136
|
1,141 sqft
|
|
LC House |
|
RM100,000
|
RM88
|
1,141 sqft
|
|
LC House |
|
RM80,000
|
RM46
|
1,755 sqft
|
|
LC House |
|
RM25,000
|
RM22
|
1,141 sqft
|
|
LC House |
|
RM72,000
|
RM63
|
1,141 sqft
|
|
|
|
RM100,000
|
RM88
|
1,141 sqft
|
|
|
RM25,000
|
RM11
|
2,174 sqft
|
|
|
|
RM100,000
|
RM46
|
2,174 sqft
|
|
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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 Sungei Siput
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Market Snapshot
ResidentialRM100,000
RM67 psfMedian transaction price
Rpa Rimba Panjang in Kuala Kangsar, Perak recorded 19 subsale transactions between 2021 and 2026, with a median price of RM100K and a median price per square foot (PSF) of RM67.
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 RM100K, with most transactions falling within a stable range of RM50K to RM150K, and a typical market range of RM54K to RM146K.
Most transactions involved low-cost house, with minimal variety in property types.
Price per square foot shows a median of RM67, though individual units vary from RM34 to RM100 in the core range. The broader market spans RM37.00 to RM97.00, indicating diverse property characteristics. A wider spread (IQR: RM60.00) and deviation (MAD: RM33) 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.