| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Damai 1
|
RM190,000
|
RM159
|
1,195 sqft
|
|
|
|
Lorong Damai 1
|
RM180,000
|
RM151
|
1,195 sqft
|
|
|
Gemas-Kampunglondah
|
RM200,000
|
RM130
|
1,539 sqft
|
|
|
Taman Sentosa, Jalan Taman Sentosa
|
RM370,000
|
RM123
|
3,003 sqft
|
|
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Nearby areas in Bandar Gemas
Taman Gemas Jaya
Taman damai
Taman Sungai Gemas
Pekan Gemas
Dataran Satria
Rumah Rakyat Gemas
Taman Bakti
Taman Sentosa(Gemas)
Pusat Komersial Perwira (Lot 906 & 8535)
Srjk (c) Kampung Baru Gemas
Pec Lot 4827
Taman Bandar Gemas
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Gemas
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Market Snapshot
ResidentialRM195,000
RM141 psfMedian transaction price
Taman Sentosa, 73400 Gemas, Negeri Sembilan, Malaysia
MapsTaman Sentosa(Gemas) in Tampin, Negeri Sembilan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM195K and a median price per square foot (PSF) of RM151.
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 RM195K, with most transactions falling within a stable range of RM185K to RM205K, and a typical market range of RM180K to RM223K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM151, with most transactions between RM137 and RM165. The usual range is RM138.28 to RM163.03, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.75 and an average deviation (MAD) of RM14 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.