Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Persiaran Pinggir Rapat 5
|
RM300,000
|
RM183
|
1,636 sqft
|
|
|
|
Prsn Pinggir Rapat 5
|
RM300,000
|
RM183
|
1,636 sqft
|
|
|
Prsn Pinggir Rapat 7
|
RM367,000
|
RM202
|
1,819 sqft
|
|
|
Persiaran Pinggir Rapat 5
|
RM400,000
|
RM215
|
1,862 sqft
|
|
|
|
Jalan Raja Muda Musa Mahadi
|
RM400,000
|
RM215
|
1,862 sqft
|
|
|
Persiaran Pinggir Rapat 5
|
RM982,000
|
RM192
|
5,102 sqft
|
|
Selling in Taman Saikat? Homes here sold for a median of RM383,500.
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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 Ulu Kinta
Market Snapshot
ResidentialRM383,500
RM197 psfMedian transaction price
Taman Saikat, Kinta, Perak
Taman Saikat in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM384K and a median price per square foot (PSF) of RM197.
This area contains both residential and commercial properties. View 25 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM384K, with most transactions falling within a stable range of RM300K to RM621K, and a typical market range of RM306K to RM462K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM197, with most transactions between RM184 and RM210. The usual range is RM158.49 to RM235.74, showing that most units are priced quite close to each other. With an IQR of RM77.25 and MAD of RM13, the PSF demonstrates reasonable consistency across the market.
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.