Taman Melati

Kedah, Baling, Bandar Kuala Ketil

Property Transactions

14 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM200,000
2,260 sqft
RM88 PSF · LC House
RM160,000
1,300 sqft
RM123 PSF · LC House
RM205,000
1,300 sqft
RM158 PSF · LC House
RM200,000
1,300 sqft
RM154 PSF · Terrace
RM200,000
1,300 sqft
RM154 PSF · LC House
RM140,000
1,300 sqft
RM108 PSF · Terrace
RM140,000
1,300 sqft
RM108 PSF · Terrace
RM120,000
2,918 sqft
RM41 PSF · LC House
RM80,000
1,302 sqft
RM61 PSF
RM80,000
1,302 sqft
RM61 PSF
RM80,000
1,302 sqft
RM61 PSF
RM100,000
1,302 sqft
RM77 PSF
RM150,000
1,300 sqft
RM115 PSF
RM120,000
1,300 sqft
RM92 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM140,000

RM100 psf

Median transaction price

Taman Melati
© OpenStreetMap · CARTO

Taman Melati, Baling, Kedah

Taman Melati in Baling, Kedah recorded 14 subsale transactions between 2021 and 2026, with a median price of RM140K and a median price per square foot (PSF) of RM108.

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 RM140K, with most transactions falling within a stable range of RM90K to RM190K, and a typical market range of RM98K to RM183K.

Most transactions involved low-cost house, though some variety exists in the market.

Price per square foot shows a median of RM108, though individual units vary from RM77 to RM139 in the core range. The broader market spans RM79.70 to RM135.70, indicating diverse property characteristics. A wider spread (IQR: RM56.00) and deviation (MAD: RM31) 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.