Bandar Butterworth

Butterworth, Penang, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 585,000
PSF
RM 274
Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
2-Sty Terrace
RM 550,000
Lorong Matahari
1,808 sqft · RM 304 PSF
1,850 sqft
1-Sty Shop
RM 680,000
Jalan Kampung Paya
1,841 sqft · RM 369 PSF
RM 620,000
Lorong Bagan Luar 2
2,271 sqft · RM 273 PSF
RM 500,000
Jalan Bagan Jermal
2,260 sqft · RM 221 PSF
3,300 sqft
Semi-D
RM 900,000
Jalan Kampung Kastam
3,284 sqft · RM 274 PSF
4,850 sqft
4-Sty Shop
RM 371,000
Jalan Bagan Luar
4,844 sqft · RM 77 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 560,000

RM 247 psf

Median transaction price

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Butterworth, Penang, Malaysia

Maps

Bandar Butterworth in Seberang Perai Utara, Penang recorded 6 subsale transactions in 2025, with a median price of RM 585K and a median price per square foot (PSF) of RM 274.

This area contains both residential and commercial properties. View 5 residential properties or 43 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 585K, with most transactions falling within a stable range of RM 421K to RM 749K, and a typical market range of RM 400K to RM 770K.

Most transactions involved 2 - 2 1/2 storey shop, with high diversity across multiple property types.

Price per square foot shows a median of RM 274, though individual units vary from RM 183 to RM 364 in the core range. The broader market spans RM 124.90 to RM 422.16, indicating diverse property characteristics. A wider spread (IQR: RM 297.25) and deviation (MAD: RM 91) indicate significant PSF variations, likely due to diverse property types or conditions.

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.