Taman Seraya Emas

Bandar Sungai Petani, Kuala Muda, Kedah, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 275,000
PSF
RM 200
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 250,000
Jalan Seraya Emas 1/2
1,098 sqft · RM 228 PSF
RM 180,000
Jalan Seraya Emas 1/2
1,098 sqft · RM 164 PSF
1,400 sqft
Terrace
RM 300,000
Jalan Seraya Emas(Fasa 2)
1,399 sqft · RM 214 PSF
RM 280,000
Jalan Seraya Emas 1
1,399 sqft · RM 200 PSF
1,450 sqft
Terrace
RM 290,000
Jalan Seraya Emas 3
1,453 sqft · RM 200 PSF
1,850 sqft
LC House
RM 270,000
Jalan Seraya Emas 1/3
1,851 sqft · RM 146 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 275,000

RM 200 psf

Median transaction price

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TAMAN SERAYA EMAS, Bandar Sungai Petani, Kuala Muda, Kedah, Malaysia

Taman Seraya Emas in Kuala Muda, Kedah recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 275K and a median price per square foot (PSF) of RM 200.

This area contains both residential and commercial properties. View 29 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 275K, with most transactions falling within a stable range of RM 235K to RM 300K, and a typical market range of RM 200K to RM 300K.

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

The median PSF stands at RM 200, with core pricing between RM 171 and RM 228. Market pricing typically extends from RM 168.08 to RM 231.58, reflecting moderate variation in unit pricing. With an IQR of RM 63.50 and MAD of RM 28, 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.