Taman Bunga Raya

Kedah, Kuala Muda, Bandar Sungai Petani

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM250,000
Lorong Tanjung 1
1,400 sqft RM179 PSF
RM248,000
Lorong Bunga Raya 2
1,400 sqft RM177 PSF
RM200,000
Jalan Bunga Raya
1,398 sqft RM143 PSF
RM252,000
Lorong Tanjong 3
1,400 sqft RM180 PSF
RM180,000
Lorong Bunga Raya 5
1,400 sqft RM129 PSF
RM220,000
Lorong Tanjung 1
1,400 sqft RM157 PSF
RM180,000
Lorong Tanjung 3
1,400 sqft RM129 PSF
Legend Recent Highest Price Highest PSF

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

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Market Snapshot

Residential

RM220,000

RM157 psf

Median transaction price

Taman Bunga Raya
© OpenStreetMap · CARTO

Taman Bunga Raya, Kuala Muda, Kedah

Taman Bunga Raya in Kuala Muda, Kedah recorded 7 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM220K and a median price per square foot (PSF) of RM157.

This area contains both residential and commercial properties. View 24 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM220K, with most transactions falling within a stable range of RM190K to RM250K, and a typical market range of RM180K to RM252K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM157, with core pricing between RM136 and RM179. Market pricing typically extends from RM125.40 to RM188.90, reflecting moderate variation in unit pricing. With an IQR of RM63.50 and MAD of RM21, the PSF demonstrates reasonable consistency across the market.

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.