| LIST.MY · Taman Pertama (Silibin) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Wayang
|
RM200,000
|
RM110
|
1,819 sqft
|
|
LC House |
| 2023 | |||||
|
Hala Bekor 17
|
RM240,000
|
RM132
|
1,819 sqft
|
|
Terrace |
| 2021 | |||||
|
Persiaran Bekor 35
|
RM355,000
|
RM196
|
1,808 sqft
|
|
2-Sty Terrace |
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Taman Pertama (Silibin)
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
RM240,000
RM132 psfMedian transaction price
RM680,000
RM442 psfMedian transaction price
Taman Tinggi, 30100 Ipoh, Perak, Malaysia
MapsTaman Pertama (Silibin) in Kinta, Perak recorded 3 subsale transactions between 2021 and 2026, sized between 1,775 and 1,824 sqft, with a median price of RM240K and a median price per square foot (PSF) of RM132.
This area contains both residential and commercial properties. View 110 residential properties or 11 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM240K, with most transactions falling within a stable range of RM200K to RM306K, and a typical market range of RM200K to RM319K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM132, though individual units vary from RM95 to RM169 in the core range. The broader market spans RM102.93 to RM160.93, indicating diverse property characteristics. A wider spread (IQR: RM58.00) and deviation (MAD: RM37) 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.