Taman Suria

Kedah, Kuala Muda, Bandar Gurun

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,650 sqft
Semi-D
RM300,000
Taman Suria
2,626 sqft · RM114 PSF
2,700 sqft
Semi-D
RM320,000
Taman Suria
2,723 sqft · RM118 PSF
3,350 sqft
Semi-D
RM470,000
Jalan Suria Perdana
3,358 sqft · RM140 PSF
3,600 sqft
Semi-D
RM400,000
Taman Suria
3,589 sqft · RM111 PSF
3,900 sqft
Semi-D
RM500,000
Taman Suria
3,898 sqft · RM128 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM400,000

RM118 psf

Median transaction price

Low

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Taman Suria
© OpenStreetMap · CARTO

Taman Suria, Kuala Muda, Kedah

Taman Suria in Kuala Muda, Kedah recorded 5 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM118.

This area contains both residential and commercial properties. View 3 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM321K to RM479K, and a typical market range of RM340K to RM460K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey semi-detached dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM118, with most transactions between RM107 and RM128. The usual range is RM76.51 to RM158.51, showing that most units are priced quite close to each other. With an IQR of RM82.00 and MAD of RM11, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.