Taman Cantik

Taman Cantek, 13400 Butterworth, Penang, Malaysia

Property Transactions

8 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM650,000
1,399 sqft
RM465 PSF
RM638,000
1,399 sqft
RM456 PSF
RM408,000
1,428 sqft
RM286 PSF
RM1,160,000
2,863 sqft
RM405 PSF
RM440,000
1,249 sqft
RM352 PSF
RM680,000
1,604 sqft
RM424 PSF
RM400,000
1,604 sqft
RM249 PSF
RM480,000
1,604 sqft
RM299 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Cantik

What’s happening in Taman Cantik?

No posts about Taman Cantik yet. Be the first to share what’s happening here.

Market Snapshot

RM638,000

RM361 psf

Median transaction price

RM480,000

RM402 psf

Median transaction price

Taman Cantik
© OpenStreetMap · CARTO

Taman Cantik, Taman Cantek, 13400 Butterworth, Penang, Malaysia

Maps

Taman Cantik in Seberang Perai Utara, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM559K and a median price per square foot (PSF) of RM405.

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 RM559K, with most transactions falling within a stable range of RM439K to RM679K, and a typical market range of RM446K to RM672K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM405, with core pricing between RM360 and RM450. Market pricing typically extends from RM360.64 to RM449.64, reflecting moderate variation in unit pricing. With an IQR of RM89.00 and MAD of RM45, 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.