Taman Gemas Indah

73400 Gemas, Negeri Sembilan, Malaysia

Property Transactions

13 subsales grouped by size

Median
RM130,000
PSF
RM85
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM80,000
Jalan Mawar 3
1,206 sqft · RM66 PSF
RM135,000
Jalan Mawar
1,206 sqft · RM112 PSF
RM180,000
Jalan Mawar 12
1,206 sqft · RM149 PSF
RM90,000
Jalan Mawar 1
1,206 sqft · RM75 PSF
RM110,000
Jalan Mawar 1
1,206 sqft · RM91 PSF
RM150,000
Jalan Mawar 12
1,206 sqft · RM124 PSF
+4 more
1,800 sqft
LC House
RM130,000
Jalan Mawar
1,798 sqft · RM72 PSF
2,000 sqft
LC House
RM170,000
Jalan Mawar 5
1,991 sqft · RM85 PSF
2,500 sqft
LC House
RM180,000
Jalan Mawar
2,497 sqft · RM72 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM130,000

RM85 psf

Median transaction price

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Taman Gemas Indah, 73400 Gemas, Negeri Sembilan, Malaysia

Maps

Taman Gemas Indah in Tampin, Negeri Sembilan recorded 13 subsale transactions between 2021 and 2026, with a median price of RM130K and a median price per square foot (PSF) of RM85.

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 RM130K, with most transactions falling within a stable range of RM94K to RM166K, and a typical market range of RM102K to RM158K.

Most transactions involved low-cost house, with minimal variety in property types.

The median PSF stands at RM85, with core pricing between RM70 and RM100. Market pricing typically extends from RM65.37 to RM105.37, reflecting moderate variation in unit pricing. The spread of RM40.00 (IQR) and deviation of RM15 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.