Taman Bunga Blossom

70100 Seremban, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM303,000
Jalan Merbok 2
1,765 sqft · RM172 PSF
RM350,000
Jalan Merbok 2
1,765 sqft · RM198 PSF
RM340,000
Jalan Merbok 11
1,765 sqft · RM193 PSF
RM250,000
Jalan Merbok 11
1,765 sqft · RM142 PSF
RM275,000
Jalan Merbok 2
1,765 sqft · RM156 PSF
1,850 sqft
Terrace
RM335,000
Jalan Merbok 2
1,873 sqft · RM179 PSF
1,950 sqft
Terrace
RM295,000
Jalan Merbok 1
1,927 sqft · RM153 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM303,000

RM172 psf

Median transaction price

Taman Bunga Blossom
© OpenStreetMap · CARTO

Taman Bunga Blossom, 70100 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Bunga Blossom in Seremban, Negeri Sembilan recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM303K and a median price per square foot (PSF) of RM172.

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 RM303K, with most transactions falling within a stable range of RM269K to RM337K, and a typical market range of RM250K to RM350K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM172, with core pricing between RM152 and RM192. Market pricing typically extends from RM156.25 to RM187.75, reflecting moderate variation in unit pricing. With an IQR of RM31.50 and MAD of RM20, 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.