Taman Nusa Intan

1/12, Jln Nusa Intan 1, Senawang, Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales grouped by size · Terrace →

Median
RM 425,000
PSF
RM 199
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM 250,000
Jalan Nusa Intan 6/12
1,195 sqft · RM 209 PSF
3,200 sqft
Semi-D
RM 600,000
Jalan Intan 6/7
3,197 sqft · RM 188 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Nusa Intan

No. 97, Jalan Nusa Intan 2/6, Taman Nusa Intan, 70400, Seremban, Negeri Sembilan
Type Reserve Price Terrace RM 570,000
PSF Size Auction Date RM 248.58 2,293 sqft 13 Aug 2026

Market Snapshot

Residential

RM 425,000

RM 199 psf

Median transaction price

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1/12, Jln Nusa Intan 1, Senawang, Seremban, Negeri Sembilan, Malaysia

Maps

Taman Nusa Intan in Seremban, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, with a median price of RM 425K and a median price per square foot (PSF) of RM 199.

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 RM 425K, with most transactions falling within a stable range of RM 250K to RM 600K, and a typical market range of RM 381K to RM 469K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM 199, with most transactions between RM 188 and RM 209. The usual range is RM 169.75 to RM 227.25, showing that most units are priced quite close to each other. With an IQR of RM 57.50 and MAD of RM 11, 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.