Taman Bunga Raya, Serdang

43300, 2-16, Jalan SR 7/4, Taman Serdang Raya, 43300 Seri Kembangan, Selangor, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM575,000
Jalan Bs 3/4
1,615 sqft RM356 PSF
RM580,000
Jalan Bs 3/3
1,615 sqft RM359 PSF
RM665,000
Jalan Bs 3/1
1,615 sqft RM412 PSF
RM650,000
Jalan Bs 3/1
1,615 sqft RM403 PSF
RM650,000
Jalan Bs 3/4
1,615 sqft RM403 PSF
RM600,000
Jalan Bs 3/3
1,615 sqft RM372 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bunga Raya, Serdang? Homes here sold for a median of RM625,000.

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Market Snapshot

Residential

RM625,000

RM387 psf

Median transaction price

Taman Bunga Raya, Serdang
© OpenStreetMap · CARTO

43300, 2-16, Jalan SR 7/4, Taman Serdang Raya, 43300 Seri Kembangan, Selangor, Malaysia

Maps

Taman Bunga Raya, Serdang in Petaling, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 1,575 and 1,624 sqft, with a median price of RM625K and a median price per square foot (PSF) of RM387.

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 RM625K, with most transactions falling within a stable range of RM589K to RM661K, and a typical market range of RM575K to RM665K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM387, with most transactions between RM365 and RM410. The usual range is RM301.60 to RM472.60, showing that most units are priced quite close to each other. With an IQR of RM171.00 and MAD of RM22, 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.