Taman Dato Shahbandar

Bandar Seremban, Seremban, Negeri Sembilan, Malaysia

Property Transactions

8 subsales found

Period
transactions middle 50% (P25–P75)
RM250,000
Jalan Sejahtera
1,480 sqft RM169 PSF
RM260,000
Jalan Damai
1,840 sqft RM141 PSF
RM210,000
Lorong Bahagia
1,362 sqft RM154 PSF
RM210,000
Lorong Sejahtera 1
1,560 sqft RM135 PSF
RM170,000
Jalan Sejahtera
1,561 sqft RM109 PSF
RM300,000
Off Km 4
1,840 sqft RM163 PSF
RM580,000
Jalan Permai
4,101 sqft RM141 PSF
RM210,000
Jalan Damai
1,670 sqft RM126 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Shah Bandar

Market Snapshot

Residential

RM230,000

RM141 psf

Median transaction price

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Bandar Seremban, Seremban, Negeri Sembilan, Malaysia

Maps

Taman Dato Shahbandar in Seremban, Negeri Sembilan recorded 8 subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM141.

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 RM230K, with most transactions falling within a stable range of RM205K to RM255K, and a typical market range of RM200K to RM260K.

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

For price per square foot, the median is RM141, with most transactions between RM127 and RM155. The usual range is RM129.68 to RM153.18, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.50 and an average deviation (MAD) of RM14 indicate a highly stable PSF trend across properties.

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.