Taman Cantik
Taman Cantek, 13400 Butterworth, Penang, Malaysia
Taman Cantek, 13400 Butterworth, Penang, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Cantik 8
|
RM650,000
|
RM465
|
1,399 sqft
|
|
|
|
Lorong Cantik 8
|
RM638,000
|
RM456
|
1,399 sqft
|
|
|
Tingkat Cantik 1
|
RM1,160,000
|
RM405
|
2,863 sqft
|
|
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Taman Cantik
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 Butterworth
Market Snapshot
RM650,000
RM456 psfMedian transaction price
RM480,000
RM402 psfMedian transaction price
Taman Cantik, Taman Cantek, 13400 Butterworth, Penang, Malaysia
MapsTaman Cantik in Seberang Perai Utara, Penang recorded 3 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM456.
This area contains both residential and commercial properties. View 5 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM650K, with most transactions falling within a stable range of RM638K to RM893K, and a typical market range of RM638K to RM763K.
Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM456, with most transactions between RM430 and RM482. The usual range is RM411.44 to RM500.44, showing that most units are priced quite close to each other. With an IQR of RM89.00 and MAD of RM26, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.