Taman Mantau Indah

152, Jalan Mantau Indah 2/3, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
LC House
RM140,000
Jalan Mantau Indah 12
775 sqft · RM181 PSF
RM185,000
Jalan Mantau Indah 3/5
775 sqft · RM239 PSF
RM140,000
Jalan Mantau Indah 13
775 sqft · RM181 PSF
RM120,000
Jalan Mantau Indah 15
775 sqft · RM155 PSF
RM160,000
Jalan Mantau Indah 3/6
775 sqft · RM206 PSF
1,150 sqft
LC House
RM187,000
Jalan Mantau Indah 15
1,173 sqft · RM159 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM150,000

RM181 psf

Median transaction price

Taman Mantau Indah
© OpenStreetMap · CARTO

152, Jalan Mantau Indah 2/3, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Mantau Indah in Seremban, Negeri Sembilan recorded 6 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM181.

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 RM150K, with most transactions falling within a stable range of RM125K to RM175K, and a typical market range of RM120K to RM180K.

Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM181, with core pricing between RM152 and RM209. Market pricing typically extends from RM161.82 to RM199.82, reflecting moderate variation in unit pricing. The spread of RM38.00 (IQR) and deviation of RM29 (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.