Taman Jawi Jaya

7, Jalan Jawi Jaya, Taman Jawi Jaya, 14200 Sungai Jawi, Pulau Pinang, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM450,000
Lorong Jawi Jaya 10
2,379 sqft RM189 PSF
RM470,000
Lorong Jawi Jaya 11
2,379 sqft RM198 PSF
RM468,000
Jalan Jawi Jaya
2,379 sqft RM197 PSF
RM450,000
Lorong Jawi Jaya 10
2,379 sqft RM189 PSF
RM350,000
Lorong Jawi Jaya 11
2,411 sqft RM145 PSF
RM350,000
Lorong Jawi Jaya 11
2,411 sqft RM145 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM450,000

RM189 psf

Median transaction price

RM450,000

RM319 psf

Median transaction price

Taman Jawi Jaya
© OpenStreetMap · CARTO

7, Jalan Jawi Jaya, Taman Jawi Jaya, 14200 Sungai Jawi, Pulau Pinang, Malaysia

Maps

Taman Jawi Jaya in Seberang Perai Selatan, Penang recorded 6 subsale transactions between 2021 and 2026, sized between 2,375 and 2,424 sqft, with a median price of RM450K and a median price per square foot (PSF) of RM189.

This area contains both residential and commercial properties. View 72 residential properties or 15 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM450K, with most transactions falling within a stable range of RM398K to RM470K, and a typical market range of RM350K to RM470K.

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

The median PSF stands at RM189, with core pricing between RM166 and RM212. Market pricing typically extends from RM124.92 to RM253.42, reflecting moderate variation in unit pricing. With an IQR of RM128.50 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.