Apartment

Taman Nilai Perdana, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

15 subsales grouped by size

Median
RM100,000
PSF
RM145
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM100,000
Level 3
689 sqft · RM145 PSF
RM140,000
Level 1
689 sqft · RM203 PSF
RM78,000
Level 3
689 sqft · RM113 PSF
RM100,000
Level 3
689 sqft · RM145 PSF
750 sqft
Flat
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
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM100,000

RM145 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 15 subsale transactions between 2021 and 2026, with a median price of RM100K and a median price per square foot (PSF) of RM145.

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 RM79K to RM121K, 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 RM145, though individual units vary from RM116 to RM174 in the core range. The broader market spans RM129.50 to RM160.50, indicating diverse property characteristics. The spread of RM31.00 (IQR) and deviation of RM29 (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.