Taman Clonlee

73000 Tampin, Negeri Sembilan, Malaysia

Property Transactions

15 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM300,000
1,679 sqft
RM179 PSF
RM140,000
1,195 sqft
RM117 PSF
RM168,000
1,195 sqft
RM141 PSF
RM150,000
1,195 sqft
RM126 PSF
RM200,000
1,195 sqft
RM167 PSF
RM260,000
883 sqft
RM295 PSF
RM300,000
883 sqft
RM340 PSF
RM170,000
883 sqft
RM193 PSF
RM250,000
2,745 sqft
RM91 PSF
RM150,000
1,195 sqft
RM126 PSF
RM200,000
614 sqft
RM326 PSF
RM500,000
1,356 sqft
RM369 PSF
RM180,000
1,195 sqft
RM151 PSF
RM188,000
883 sqft
RM213 PSF
RM250,000
2,411 sqft
RM104 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM194,000

RM145 psf

Median transaction price

Taman Clonlee
© OpenStreetMap · CARTO

Taman Clonlee, 73000 Tampin, Negeri Sembilan, Malaysia

Maps

Taman Clonlee in Tampin, Negeri Sembilan recorded 15 subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM167.

This area contains both residential and commercial properties. View 14 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM200K, with most transactions falling within a stable range of RM150K to RM250K, and a typical market range of RM157K to RM243K.

Most transactions involved low-cost house, with high diversity across multiple property types.

The median PSF stands at RM167, with core pricing between RM143 and RM191. Market pricing typically extends from RM143.89 to RM190.89, reflecting moderate variation in unit pricing. With an IQR of RM47.00 and MAD of RM24, the PSF demonstrates reasonable consistency across the market.

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.