Taman Bagan

13400 Butterworth, Pulau Pinang, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM460,000
Jalan Bagan 19
1,500 sqft RM307 PSF
RM400,000
Jalan Bagan 19
1,496 sqft RM267 PSF
RM490,000
Jalan Bagan 19
1,500 sqft RM327 PSF
RM415,000
Jalan Bagan 19
1,500 sqft RM277 PSF
RM400,000
Jalan Bagan 19
1,496 sqft RM267 PSF
RM460,000
Jalan Bagan 19
1,496 sqft RM307 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM437,500

RM292 psf

Median transaction price

Low

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

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Taman Bagan
© OpenStreetMap · CARTO

Taman Bagan, 13400 Butterworth, Pulau Pinang, Malaysia

Maps

Taman Bagan in Seberang Perai Utara, Penang recorded 6 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM438K and a median price per square foot (PSF) of RM292.

This area contains both residential and commercial properties. View 98 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 RM438K, with most transactions falling within a stable range of RM403K to RM472K, and a typical market range of RM400K to RM490K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

For price per square foot, the median is RM292, with most transactions between RM269 and RM314. The usual range is RM176.18 to RM407.18, showing that most units are priced quite close to each other. With an IQR of RM231.00 and MAD of RM23, 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.