Taman Seraya

Pinang Tunggal, 08000, Kuala Muda, Kedah, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM270,000
Jalan Seraya 3/4
1,195 sqft · RM226 PSF
RM225,000
Jalan Seraya 3/4
1,195 sqft · RM188 PSF
RM150,000
Jalan Seraya 3/4
1,195 sqft · RM126 PSF
RM120,000
Jalan Seraya 3/3
1,195 sqft · RM100 PSF
RM170,000
Jalan Seraya 3/3
1,195 sqft · RM142 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pinang Tunggal

Market Snapshot

Residential

RM170,000

RM142 psf

Median transaction price

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TAMAN SERAYA, Pinang Tunggal, 08000, Kuala Muda, Kedah, Malaysia

Taman Seraya in Kuala Muda, Kedah recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM170K and a median price per square foot (PSF) of RM142.

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 RM170K, with most transactions falling within a stable range of RM120K to RM224K, and a typical market range of RM120K to RM235K.

Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM142, though individual units vary from RM97 to RM187 in the core range. The broader market spans RM115.78 to RM168.78, indicating diverse property characteristics. A wider spread (IQR: RM53.00) and deviation (MAD: RM45) indicate significant PSF variations, likely due to diverse property types or conditions.

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.