Taman Bagan Tambun

14, Lorong Bagan Tambun, 14100 Simpang Ampat, Penang, Malaysia

Property Transactions

4 subsales grouped by size · Semi-D →

Median
RM 991,500
PSF
RM 300
Price Size
Period
transactions middle 50% (P25–P75)
2,650 sqft
Semi-D
RM 733,000
Lorong Bagan Tambun 1
2,626 sqft · RM 279 PSF
RM 725,000
Lorong Bagan Tambun 2
2,626 sqft · RM 276 PSF
3,700 sqft
3-Sty Shop
RM 1,250,000
Lorong Bagan Tambun
3,703 sqft · RM 338 PSF
5,050 sqft
3-Sty Shop
RM 1,610,000
Lorong Bagan Tambun
5,027 sqft · RM 320 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 729,000

RM 278 psf

Median transaction price

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14, Lorong Bagan Tambun, 14100 Simpang Ampat, Penang, Malaysia

Maps

Taman Bagan Tambun in Seberang Perai Selatan, Penang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 992K and a median price per square foot (PSF) of RM 300.

This area contains both residential and commercial properties. View 7 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 992K, with most transactions falling within a stable range of RM 725K to RM 1.36 million, and a typical market range of RM 725K to RM 1.28 million.

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 RM 300, with most transactions between RM 273 and RM 326. The usual range is RM 287.19 to RM 312.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 25.00 and an average deviation (MAD) of RM 26 indicate a highly stable PSF trend across properties.

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.