Taman Sentosa(Gemas)

Taman Sentosa, 73400 Gemas, Negeri Sembilan, Malaysia

Property Transactions

16 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM130,000
1,195 sqft
RM109 PSF
RM235,000
2,842 sqft
RM83 PSF
RM200,000
1,539 sqft
RM130 PSF
RM136,000
1,195 sqft
RM114 PSF
RM150,000
1,195 sqft
RM126 PSF
RM208,000
1,572 sqft
RM132 PSF
RM230,000
1,539 sqft
RM149 PSF
RM300,000
1,572 sqft
RM191 PSF
RM230,000
1,572 sqft
RM146 PSF
RM180,000
1,195 sqft
RM151 PSF
RM180,000
1,539 sqft
RM117 PSF
RM315,000
3,294 sqft
RM96 PSF
RM140,000
1,539 sqft
RM91 PSF
RM167,000
1,539 sqft
RM108 PSF
RM170,000
1,539 sqft
RM110 PSF
RM170,000
1,722 sqft
RM99 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM180,000

RM116 psf

Median transaction price

Taman Sentosa(Gemas)
© OpenStreetMap · CARTO

Taman Sentosa, 73400 Gemas, Negeri Sembilan, Malaysia

Maps

Taman Sentosa(Gemas) in Tampin, Negeri Sembilan recorded 16 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM117.

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 RM180K, with most transactions falling within a stable range of RM145K to RM215K, and a typical market range of RM146K to RM214K.

Most transactions involved low-cost house, with moderate diversity in property types available.

The median PSF stands at RM117, with core pricing between RM100 and RM133. Market pricing typically extends from RM101.69 to RM132.19, reflecting moderate variation in unit pricing. With an IQR of RM30.50 and MAD of RM17, the PSF demonstrates reasonable consistency across the market.

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.