Taman Nusari Bayu

1, Jln. Nusari Bayu 1, Bandar Sri Sendayan, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

11 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM338,000
1,399 sqft
RM242 PSF
RM290,000
1,399 sqft
RM207 PSF
RM275,000
1,399 sqft
RM197 PSF
RM520,000
3,197 sqft
RM163 PSF
RM540,000
3,197 sqft
RM169 PSF
RM950,000
3,132 sqft
RM303 PSF
RM950,000
3,132 sqft
RM303 PSF
RM968,000
3,132 sqft
RM309 PSF
RM270,000
1,399 sqft
RM193 PSF
RM200,000
1,399 sqft
RM143 PSF
RM270,000
1,399 sqft
RM193 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM272,500

RM195 psf

Median transaction price

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1, Jln. Nusari Bayu 1, Bandar Sri Sendayan, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Nusari Bayu in Seremban, Negeri Sembilan recorded 11 subsale transactions between 2021 and 2026, with a median price of RM338K and a median price per square foot (PSF) of RM197.

This area contains both residential and commercial properties. View 6 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM338K, with most transactions falling within a stable range of RM200K to RM476K, and a typical market range of RM200K to RM574K.

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

The median PSF stands at RM197, with core pricing between RM163 and RM231. Market pricing typically extends from RM82.28 to RM310.78, reflecting moderate variation in unit pricing. The spread of RM228.50 (IQR) and deviation of RM34 (MAD) suggest moderate price variations reflecting different property features.

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.