Taman Jawi Ria

14200 Sungai Jawi, Pulau Pinang, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Townhouse
RM190,000
Level 1
646 sqft · RM294 PSF
RM170,000
Level G
646 sqft · RM263 PSF
RM160,000
Level 1
646 sqft · RM248 PSF
RM150,000
Level G
646 sqft · RM232 PSF
RM150,000
Level 1
646 sqft · RM232 PSF
RM150,000
Level 1
646 sqft · RM232 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in Taman Jawi Ria? Homes here sold for a median of RM150,000.

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Market Snapshot

Residential

RM150,000

RM232 psf

Median transaction price

Taman Jawi Ria
© OpenStreetMap · CARTO

Taman Jawi Ria, 14200 Sungai Jawi, Pulau Pinang, Malaysia

Maps

Taman Jawi Ria in Seberang Perai Selatan, Penang recorded 9 Town House properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM232.

This area contains both residential and commercial properties. View 11 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM150K, with most transactions falling within a stable range of RM124K to RM176K, and a typical market range of RM129K to RM171K.

Within the Town House category, town house dominated the market, with high diversity across multiple property types.

The median PSF stands at RM232, with core pricing between RM192 and RM272. Market pricing typically extends from RM199.76 to RM264.76, reflecting moderate variation in unit pricing. The spread of RM65.00 (IQR) and deviation of RM40 (MAD) suggest moderate price variations reflecting different property features.

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.