Taman Sri Mahsan

Kampung Mahsan, 72100 Bahau, Negeri Sembilan, Malaysia

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM305,000
Off Km 5 Bahau /Serting
1,195 sqft RM255 PSF
RM220,000
Off Jalan Bahau/Serting
1,195 sqft RM184 PSF
RM280,000
Off Km 5 Bahau /Serting
1,195 sqft RM234 PSF
RM272,000
Off Km 5 Bahau /Serting
1,195 sqft RM228 PSF
RM150,000
Bahau/Bandar Serting
1,195 sqft RM126 PSF
RM160,000
Off Jalan Bahau/Serting
1,195 sqft RM134 PSF
RM185,000
Jalan Mahsan 6
1,195 sqft RM155 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM220,000

RM184 psf

Median transaction price

Taman Sri Mahsan
© OpenStreetMap · CARTO

Kampung Mahsan, 72100 Bahau, Negeri Sembilan, Malaysia

Maps

Taman Sri Mahsan in Jempol, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM220K and a median price per square foot (PSF) of RM184.

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 RM220K, with most transactions falling within a stable range of RM163K to RM277K, and a typical market range of RM175K to RM265K.

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

Price per square foot shows a median of RM184, though individual units vary from RM136 to RM232 in the core range. The broader market spans RM149.13 to RM219.13, indicating diverse property characteristics. A wider spread (IQR: RM70.00) and deviation (MAD: RM48) indicate significant PSF variations, likely due to diverse property types or conditions.

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.