Taman Kerapu

13400 Butterworth, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 320,000
PSF
RM 197
Price Size
Period
transactions middle 50% (P25–P75)
1,350 sqft
Terrace
RM 270,000
Tkt Kerapu 6
1,370 sqft · RM 197 PSF
1,400 sqft
Terrace
RM 330,000
Lorong Kerapu 3
1,399 sqft · RM 236 PSF
RM 295,000
Lorong Kerapu 5
1,399 sqft · RM 211 PSF
1,450 sqft
Terrace
RM 270,000
Tingkat Kerapu 8
1,434 sqft · RM 188 PSF
1,550 sqft
Terrace
RM 320,000
Lintang Kerapu
1,540 sqft · RM 208 PSF
2,750 sqft
Terrace
RM 500,000
Lintang Kerapu
2,766 sqft · RM 181 PSF
2,900 sqft
Terrace
RM 493,000
Lorong Kerapu 7
2,911 sqft · RM 169 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 320,000

RM 197 psf

Median transaction price

Taman Kerapu
© OpenStreetMap · CARTO

Taman Kerapu, 13400 Butterworth, Pulau Pinang, Malaysia

Maps

Taman Kerapu in Seberang Perai Utara, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 320K and a median price per square foot (PSF) of RM 197.

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 320K, with most transactions falling within a stable range of RM 270K to RM 413K, and a typical market range of RM 284K to RM 356K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM 197, with core pricing between RM 177 and RM 217. Market pricing typically extends from RM 170.84 to RM 223.34, reflecting moderate variation in unit pricing. With an IQR of RM 52.50 and MAD of RM 20, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.