| Road | Price | PSF | Size | Date | Type |
|---|
|
4392 Tamandamai, Jalan Damai 5
|
RM155,000
|
RM130
|
1,195 sqft
|
|
|
|
Jalan Damai 8
|
RM140,000
|
RM117
|
1,195 sqft
|
|
|
|
Jalan Damai 7
|
RM80,000
|
RM67
|
1,195 sqft
|
|
|
|
Jalan Damai 7
|
RM100,000
|
RM84
|
1,195 sqft
|
|
|
Gemas
|
RM268,000
|
RM164
|
1,636 sqft
|
|
|
|
Jalan Damai 3
|
RM210,000
|
RM128
|
1,647 sqft
|
|
|
|
Gemas
|
RM170,000
|
RM103
|
1,647 sqft
|
|
|
Taman Damai
|
RM100,000
|
RM42
|
2,390 sqft
|
|
|
Jalan Bandar Gemas
|
RM300,000
|
RM93
|
3,240 sqft
|
|
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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
Taman damai, 4384, Jalan Damai 5, Kampung Sri Gemas, 73400 Gemas, Negeri Sembilan, Malaysia
MapsTaman damai in Tampin, Negeri Sembilan recorded 9 subsale transactions between 2021 and 2026, with a median price of RM155K and a median price per square foot (PSF) of RM103.
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 RM155K, with most transactions falling within a stable range of RM100K to RM210K, and a typical market range of RM100K to RM210K.
Most transactions involved low-cost house, though some variety exists in the market.
Price per square foot shows a median of RM103, though individual units vary from RM78 to RM128 in the core range. The broader market spans RM81.23 to RM125.23, indicating diverse property characteristics. The spread of RM44.00 (IQR) and deviation of RM25 (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.