Taman Tiong

Kedah, Kuala Muda, Bandar Sungai Petani

Property Transactions

5 subsales grouped by size

Median
RM 480,000
PSF
RM 94
Price Size
Period
transactions middle 50% (P25–P75)
3,050 sqft
Semi-D
RM 285,000
Taman Tiong
3,035 sqft · RM 94 PSF
3,350 sqft
Semi-D
RM 290,000
Jalan Merpati
3,358 sqft · RM 86 PSF
3,800 sqft
Semi-D
RM 560,000
Jalan Pekaka Off Jalan Badlishah
3,800 sqft · RM 147 PSF
4,150 sqft
Semi-D
RM 730,000
Jalan Tiong
4,155 sqft · RM 176 PSF
5,900 sqft
Semi-D
RM 480,000
Taman Tiong
5,920 sqft · RM 81 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 480,000

RM 94 psf

Median transaction price

Taman Tiong
© OpenStreetMap · CARTO

Taman Tiong, Kuala Muda, Kedah

Taman Tiong in Kuala Muda, Kedah recorded 5 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 480K and a median price per square foot (PSF) of RM 94.

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 RM 480K, with most transactions falling within a stable range of RM 311K to RM 649K, and a typical market range of RM 382K to RM 578K.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 94, though individual units vary from RM 56 to RM 132 in the core range. The broader market spans RM 42.14 to RM 145.64, indicating diverse property characteristics. A wider spread (IQR: RM 103.50) and deviation (MAD: RM 38) 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.