Taman Penaga

13100 Penaga, Pulau Pinang, Malaysia

Property Transactions

19 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
LC House
RM200,000
Lorong Penaga 15
1,001 sqft · RM200 PSF
RM250,000
Lorong Penaga 15
1,001 sqft · RM250 PSF
RM220,000
Lorong Penaga 17
1,001 sqft · RM220 PSF
RM200,000
Lorong Penaga 29
1,001 sqft · RM200 PSF
RM280,000
Lorong Penaga 32
1,001 sqft · RM280 PSF
RM245,000
Lorong Penaga 21
1,001 sqft · RM245 PSF
+12 more
1,950 sqft
LC House
RM310,000
Lorong Penaga 7
1,927 sqft · RM161 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM200,000

RM200 psf

Median transaction price

Taman Penaga
© OpenStreetMap · CARTO

Taman Penaga, 13100 Penaga, Pulau Pinang, Malaysia

Maps

Taman Penaga in Seberang Perai Utara, Penang recorded 19 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM200.

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 RM200K, with most transactions falling within a stable range of RM155K to RM245K, and a typical market range of RM156K to RM244K.

Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM200, with core pricing between RM161 and RM238. Market pricing typically extends from RM175.04 to RM224.54, reflecting moderate variation in unit pricing. The spread of RM49.50 (IQR) and deviation of RM39 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.