Resort Homes

Bandar Sungai Petani, Kuala Muda, Kedah, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM 720,000
3,197 sqft
RM 225 PSF
RM 550,000
3,197 sqft
RM 172 PSF
RM 1,100,000
4,941 sqft
RM 223 PSF · 3-Sty Shop
RM 470,000
2,465 sqft
RM 191 PSF · 2-Sty Shop
RM 300,000
1,970 sqft
RM 152 PSF
RM 500,000
1,970 sqft
RM 254 PSF
RM 475,000
2,465 sqft
RM 193 PSF
RM 470,000
2,465 sqft
RM 191 PSF
RM 650,000
3,197 sqft
RM 203 PSF
RM 1,100,000
8,019 sqft
RM 137 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 472,500

RM 363 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 RM 525K and a median price per square foot (PSF) of RM 193.

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 RM 525K, with most transactions falling within a stable range of RM 435K to RM 615K, and a typical market range of RM 409K to RM 641K.

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 RM 193, though individual units vary from RM 107 to RM 279 in the core range. The broader market spans RM 110.70 to RM 274.70, indicating diverse property characteristics. A wider spread (IQR: RM 164.00) and deviation (MAD: RM 86) 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.