Taman Bagan Jermal

Kampung Gajah, 12300 Butterworth, Penang, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
2-Sty Terrace
RM500,000
Lorong Melur 8
1,496 sqft · RM334 PSF
1,800 sqft
2-Sty Terrace
RM370,000
Lorong Matahari
1,808 sqft · RM205 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Bagan Jermal

What’s happening in Taman Bagan Jermal?

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

Market Snapshot

Residential

RM435,000

RM269 psf

Median transaction price

Taman Bagan Jermal
© OpenStreetMap · CARTO

Taman Bagan Jermal, Kampung Gajah, 12300 Butterworth, Penang, Malaysia

Maps

Taman Bagan Jermal in Seberang Perai Utara, Penang recorded 2 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM435K and a median price per square foot (PSF) of RM269.

This area contains both residential and commercial properties. View 51 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 RM435K, with most transactions falling within a stable range of RM370K to RM500K, and a typical market range of RM391K to RM479K.

Within the Double Storey Terraced category, flats dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM269, though individual units vary from RM205 to RM334 in the core range. The broader market spans RM230.65 to RM308.15, indicating diverse property characteristics. The spread of RM77.50 (IQR) and deviation of RM65 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.