Taman Bagan Lallang

16, Taman Bagan Lalang, 13400 Butterworth, Pulau Pinang, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM345,000
Lorong Bagan Lallang 15
1,206 sqft · RM286 PSF
RM375,000
Lorong Bagan Lallang 15
1,206 sqft · RM311 PSF
1,250 sqft
Terrace
RM450,000
Lorong Tembusu 1
1,270 sqft · RM354 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Bagan Lallang

What’s happening in Taman Bagan Lallang?

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

Market Snapshot

Residential

RM375,000

RM311 psf

Median transaction price

Taman Bagan Lallang
© OpenStreetMap · CARTO

16, Taman Bagan Lalang, 13400 Butterworth, Pulau Pinang, Malaysia

Maps

Taman Bagan Lallang in Seberang Perai Utara, Penang recorded 3 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM375K and a median price per square foot (PSF) of RM311.

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 RM375K, with most transactions falling within a stable range of RM345K to RM419K, and a typical market range of RM345K to RM450K.

Within the Single 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 RM311, with most transactions between RM283 and RM339. The usual range is RM237.44 to RM384.69, showing that most units are priced quite close to each other. With an IQR of RM147.25 and MAD of RM28, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.