Taman Kenari

Kedah, Kuala Muda, Bandar Sungai Petani

Property Transactions

12 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM168,000
1,195 sqft
RM141 PSF · LC House
RM370,000
1,356 sqft
RM273 PSF · 2-Sty Terrace
RM350,000
2,196 sqft
RM159 PSF
RM200,000
1,195 sqft
RM167 PSF
RM400,000
3,337 sqft
RM120 PSF · Terrace
RM175,000
1,195 sqft
RM146 PSF · LC House
RM618,000
5,866 sqft
RM105 PSF
RM220,000
1,600 sqft
RM138 PSF
RM220,000
1,195 sqft
RM184 PSF
RM200,000
1,195 sqft
RM167 PSF
RM230,000
1,195 sqft
RM193 PSF
RM170,000
1,195 sqft
RM142 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Kenari? Homes here sold for a median of RM220,000.

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Market Snapshot

Residential

RM220,000

RM153 psf

Median transaction price

Taman Kenari
© OpenStreetMap · CARTO

Taman Kenari, Kuala Muda, Kedah

Taman Kenari in Kuala Muda, Kedah recorded 12 subsale transactions between 2021 and 2026, with a median price of RM220K and a median price per square foot (PSF) of RM159.

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 RM220K, with most transactions falling within a stable range of RM173K to RM268K, and a typical market range of RM168K to RM301K.

Most transactions involved low-cost house, with moderate diversity in property types available.

For price per square foot, the median is RM159, with most transactions between RM145 and RM174. The usual range is RM143.89 to RM174.89, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.00 and an average deviation (MAD) of RM15 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.