Taman Bayu

12300 Butterworth, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
800 sqft
Flat
RM 200,000
Level 3
786 sqft · RM 255 PSF
RM 200,000
Level 2
893 sqft · RM 224 PSF
RM 384,000
Tingkat Mak Mandin 1
893 sqft · RM 430 PSF
1,550 sqft
2-Sty Terrace
RM 500,000
Lintang Mak Mandin 5
1,550 sqft · RM 323 PSF
1,650 sqft
Semi-D
RM 716,000
Tingkat Mak Mandin 1
1,668 sqft · RM 429 PSF
2,400 sqft
Semi-D
RM 880,000
Tkt Mak Mandin 1
2,400 sqft · RM 367 PSF
5,050 sqft
Semi-D
RM 2,000,000
Lintang Mak Mandin 4
5,048 sqft · RM 396 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 500,000

RM 396 psf

Median transaction price

Taman Bayu
© OpenStreetMap · CARTO

Taman Bayu, 12300 Butterworth, Pulau Pinang, Malaysia

Maps

Taman Bayu in Seberang Perai Utara, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 500K and a median price per square foot (PSF) of RM 367.

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 RM 500K, with most transactions falling within a stable range of RM 200K to RM 800K, and a typical market range of RM 247K to RM 753K.

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 367, with most transactions between RM 334 and RM 400. The usual range is RM 310.36 to RM 422.86, showing that most units are priced quite close to each other. With an IQR of RM 112.50 and MAD of RM 33, 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.