Taman Bukit Mertajam Indah

Taman Bukit, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

9 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM1,600,000
5,038 sqft
RM318 PSF · Bungalow
RM900,000
4,456 sqft
RM202 PSF · Semi-D
RM850,000
2,594 sqft
RM328 PSF · Semi-D
RM830,000
2,594 sqft
RM320 PSF · Semi-D
RM980,000
2,982 sqft
RM329 PSF · Semi-D
RM850,000
2,885 sqft
RM295 PSF · Semi-D
RM1,000,000
2,433 sqft
RM411 PSF · 2-Sty Terrace
RM740,000
2,433 sqft
RM304 PSF
RM760,000
2,594 sqft
RM293 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 17

Taman Bukit Mertajam Indah
© OpenStreetMap · CARTO

Taman Bukit, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Bukit Mertajam Indah in Seberang Perai Tengah, Penang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM850K and a median price per square foot (PSF) of RM318.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM850K, with most transactions falling within a stable range of RM760K to RM940K, and a typical market range of RM775K to RM925K.

Most transactions involved 2 - 2 1/2 storey semi-detached, with moderate diversity in property types available.

For price per square foot, the median is RM318, with most transactions between RM309 and RM327. The usual range is RM301.50 to RM334.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM33.00 and an average deviation (MAD) of RM9 indicate a highly stable PSF trend across properties.

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.