Taman Sri Pertang

119, Taman Sri Kenaboi, Taman Titi, 71600 Titi, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size · Terrace →

Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM270,000
Pekan Simpang Pertang
1,755 sqft · RM154 PSF
RM200,000
Jalan Helang, Jalan Simpang Pertang
1,765 sqft · RM113 PSF
RM150,000
Jalan Simpang Pertang
1,755 sqft · RM85 PSF
2,650 sqft
2-Sty Shop
RM538,000
Pekan Simpang Pertang
2,648 sqft · RM203 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pertang

Taman Sri Pertang
© OpenStreetMap · CARTO

119, Taman Sri Kenaboi, Taman Titi, 71600 Titi, Negeri Sembilan, Malaysia

Maps

Taman Sri Pertang in Jelebu, Negeri Sembilan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM235K and a median price per square foot (PSF) of RM154.

This area contains both residential and commercial properties. View 3 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 RM235K, with most transactions falling within a stable range of RM175K to RM295K, and a typical market range of RM160K to RM310K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM154, though individual units vary from RM120 to RM189 in the core range. The broader market spans RM108.38 to RM199.63, indicating diverse property characteristics. The spread of RM91.25 (IQR) and deviation of RM35 (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.