Taman Senawang Jaya Ii

Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
LC House
RM230,000
Lorong Delima 3
1,324 sqft · RM174 PSF
RM230,000
Lorong Delima 3
1,324 sqft · RM174 PSF
RM190,000
Lorong Saga 1
1,324 sqft · RM144 PSF
RM150,000
Jalan Beringin
1,324 sqft · RM113 PSF
RM205,000
Bandar Senawang
1,324 sqft · RM155 PSF
RM200,000
Jalan Beringin
1,324 sqft · RM151 PSF
1,900 sqft
LC House
RM185,000
Jalan Beringin
1,916 sqft · RM97 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM200,000

RM151 psf

Median transaction price

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Jalan Berlian, Taman Senawang Jaya, 70450 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Senawang Jaya Ii in Seremban, Negeri Sembilan recorded 7 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM151.

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 RM200K, with most transactions falling within a stable range of RM174K to RM226K, and a typical market range of RM183K to RM218K.

Within the Low-Cost House category, low-cost house dominated the market, with moderate diversity in property types available.

The median PSF stands at RM151, with core pricing between RM124 and RM178. Market pricing typically extends from RM120.81 to RM181.31, reflecting moderate variation in unit pricing. The spread of RM60.50 (IQR) and deviation of RM27 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.