Taman damai

4384, Jalan Damai 5, Kampung Sri Gemas, 73400 Gemas, Negeri Sembilan, Malaysia

Property Transactions

8 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM140,000
Jalan Damai 8
1,195 sqft · RM117 PSF
RM80,000
Jalan Damai 7
1,195 sqft · RM67 PSF
RM100,000
Jalan Damai 7
1,195 sqft · RM84 PSF
1,650 sqft
Terrace
RM268,000
Gemas
1,636 sqft · RM164 PSF
RM210,000
Jalan Damai 3
1,647 sqft · RM128 PSF
RM170,000
Gemas
1,647 sqft · RM103 PSF
2,400 sqft
LC House
RM100,000
Taman Damai
2,390 sqft · RM42 PSF
3,250 sqft
Terrace
RM300,000
Jalan Bandar Gemas
3,240 sqft · RM93 PSF
Legend Recent Highest Price Highest PSF

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Taman Damai (Gemas)
© OpenStreetMap · CARTO

Taman damai, 4384, Jalan Damai 5, Kampung Sri Gemas, 73400 Gemas, Negeri Sembilan, Malaysia

Maps

Taman damai in Tampin, Negeri Sembilan recorded 8 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 RM93K to RM217K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM103, though individual units vary from RM79 to RM128 in the core range. The broader market spans RM83.23 to RM123.23, indicating diverse property characteristics. The spread of RM40.00 (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.