Resort Homes

Bandar Sungai Petani, Kuala Muda, Kedah, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM720,000
3,197 sqft
RM225 PSF
RM550,000
3,197 sqft
RM172 PSF
RM1,100,000
4,941 sqft
RM223 PSF · 3-Sty Shop
RM470,000
2,465 sqft
RM191 PSF · 2-Sty Shop
RM300,000
1,970 sqft
RM152 PSF
RM500,000
1,970 sqft
RM254 PSF
RM475,000
2,465 sqft
RM193 PSF
RM470,000
2,465 sqft
RM191 PSF
RM650,000
3,197 sqft
RM203 PSF
RM1,100,000
8,019 sqft
RM137 PSF
Legend Recent Highest Price Highest PSF

Selling in Resort Homes? Homes here sold for a median of RM525,000.

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Market Snapshot

Commercial

RM472,500

RM363 psf

Median transaction price

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RESORT HOMES, Bandar Sungai Petani, Kuala Muda, Kedah, Malaysia

Resort Homes in Kuala Muda, Kedah recorded 10 subsale transactions between 2021 and 2026, with a median price of RM525K and a median price per square foot (PSF) of RM193.

This area contains both residential and commercial properties. View 6 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 RM525K, with most transactions falling within a stable range of RM435K to RM615K, and a typical market range of RM409K to RM641K.

Most transactions involved 2 - 2 1/2 storey semi-detached, with high diversity across multiple property types.

Price per square foot shows a median of RM193, though individual units vary from RM107 to RM279 in the core range. The broader market spans RM110.70 to RM274.70, indicating diverse property characteristics. A wider spread (IQR: RM164.00) and deviation (MAD: RM86) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.