Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Persiaran Rishah 3
|
RM280,000
|
RM205
|
1,367 sqft
|
|
|
Jalan Rishah 3
|
RM260,000
|
RM174
|
1,496 sqft
|
|
|
|
Persiaran Rishah 3
|
RM220,000
|
RM147
|
1,496 sqft
|
|
|
|
Persiaran Rishah 1
|
RM250,000
|
RM167
|
1,496 sqft
|
|
|
|
Persiaran Rishah 5
|
RM290,000
|
RM194
|
1,496 sqft
|
|
|
Jalan Rishah Maju 3
|
RM568,000
|
RM295
|
1,927 sqft
|
|
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Taman Rishah
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 Ulu Kinta
Market Snapshot
RM270,000
RM184 psfMedian transaction price
RM550,000
RM313 psfMedian transaction price
TAMAN RISHAH, Silibin, Ulu Kinta, Kinta, Perak, Malaysia
Taman Rishah in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM184.
This area contains both residential and commercial properties. View 43 residential properties or 7 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM270K, with most transactions falling within a stable range of RM220K to RM387K, and a typical market range of RM226K to RM314K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM184, though individual units vary from RM136 to RM231 in the core range. The broader market spans RM157.55 to RM210.05, indicating diverse property characteristics. A wider spread (IQR: RM52.50) and deviation (MAD: RM48) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.