Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lebuh Lapangan Siber 2
|
RM988,000
|
RM339
|
2,917 sqft
|
|
2-Sty Shop |
|
Lebuh Lapanagn Siber 6
|
RM580,000
|
RM200
|
2,895 sqft
|
|
2-Sty Terrace |
|
Lebuh Lapangan Siber 5
|
RM618,000
|
RM213
|
2,895 sqft
|
|
2-Sty Terrace |
|
Lebuh Lapangan Siber 7
|
RM498,000
|
RM172
|
2,895 sqft
|
|
2-Sty Terrace |
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Bandar Cyber Ipoh
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
RM580,000
RM200 psfMedian transaction price
RM988,000
RM339 psfMedian transaction price
Bandar Cyber Ipoh, 31350 Ipoh, Perak, Malaysia
MapsBandar Cyber Ipoh in Kinta, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 2,875 and 2,924 sqft, with a median price of RM599K and a median price per square foot (PSF) of RM207.
This area contains both residential and commercial properties. View 65 residential properties or 24 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM599K, with most transactions falling within a stable range of RM498K to RM787K, and a typical market range of RM498K to RM719K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM207, though individual units vary from RM143 to RM271 in the core range. The broader market spans RM156.87 to RM256.87, indicating diverse property characteristics. A wider spread (IQR: RM100.00) and deviation (MAD: RM64) 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.