Taman Bandar Senawang

70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,000 sqft
Semi-D
RM720,000
Jalan 8 D'latania
3,014 sqft · RM239 PSF
3,050 sqft
Semi-D
RM766,000
Jalan 7
3,043 sqft · RM252 PSF
3,200 sqft
Semi-D
RM699,000
Jalan D' Latania 8
3,197 sqft · RM219 PSF
3,500 sqft
Semi-D
RM738,000
Jalan 8 D' Latania
3,479 sqft · RM212 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM729,000

RM229 psf

Median transaction price

RM330,000

RM310 psf

Median transaction price

Taman Bandar Senawang
© OpenStreetMap · CARTO

Taman Bandar Senawang, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Bandar Senawang in Seremban, Negeri Sembilan recorded 4 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM729K and a median price per square foot (PSF) of RM229.

This area contains both residential and commercial properties. View 74 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM729K, with most transactions falling within a stable range of RM704K to RM754K, and a typical market range of RM699K to RM766K.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM229, with most transactions between RM213 and RM245. The usual range is RM191.02 to RM266.52, showing that most units are priced quite close to each other. With an IQR of RM75.50 and MAD of RM16, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.