Taman Impian

14, Jaln Impian, Taman Impian, 14100 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

1 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM450,000
Lorong Impian 9
1,464 sqft RM307 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Impian? Homes here sold for a median of RM450,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Impian

What’s happening in Taman Impian?

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

Market Snapshot

Residential

RM450,000

RM307 psf

Median transaction price

Low

Does TAMAN IMPIAN rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

See the yield with Plus

RM59 a month, cancel any time

Taman Impian
© OpenStreetMap · CARTO

14, Jaln Impian, Taman Impian, 14100 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Impian in Seberang Perai Tengah, Penang recorded 1 subsale transactions between 2021 and 2026, sized between 1,425 and 1,474 sqft, with a median price of RM450K and a median price per square foot (PSF) of RM307.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

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

For price per square foot, the median is RM307, with most transactions between RM307 and RM307. The usual range is RM244.77 to RM370.03, showing that most units are priced quite close to each other. With an IQR of RM125.25 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.