Apartment

Taman Nilai Perdana, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

12 subsales found

Median
RM100,000
PSF
RM137
Price Size
Period
transactions middle 50% (P25–P75)
RM110,000
Level 2
753 sqft RM146 PSF
RM120,000
Level 4
753 sqft RM159 PSF
RM130,000
Level 2
753 sqft RM173 PSF
RM78,000
Level 3
732 sqft RM107 PSF
RM100,000
Level 4
732 sqft RM137 PSF
RM100,000
Level 1
753 sqft RM133 PSF
RM100,000
Level 4
732 sqft RM137 PSF
RM100,000
Level 1
753 sqft RM133 PSF
RM130,000
Level 4
753 sqft RM173 PSF
RM120,000
Level 1
732 sqft RM164 PSF
RM59,000
Level 4
753 sqft RM78 PSF
RM59,000
Level 4
753 sqft RM78 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM100,000

RM137 psf

Median transaction price

Apartment Nilai 3
© OpenStreetMap · CARTO

Apartment, Taman Nilai Perdana, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Apartment in Seremban, Negeri Sembilan recorded 12 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM100K and a median price per square foot (PSF) of RM137.

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 RM100K, with most transactions falling within a stable range of RM77K to RM123K, and a typical market range of RM90K to RM110K.

Most transactions involved flats, with minimal variety in property types.

Price per square foot shows a median of RM137, though individual units vary from RM106 to RM168 in the core range. The broader market spans RM121.12 to RM152.12, indicating diverse property characteristics. The spread of RM31.00 (IQR) and deviation of RM31 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.