| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 5
|
RM150,000
|
RM205
|
732 sqft
|
|
|
|
Level 1
|
RM98,000
|
RM130
|
753 sqft
|
|
|
|
Level G
|
RM130,000
|
RM173
|
753 sqft
|
|
|
|
Level 4
|
RM85,000
|
RM113
|
753 sqft
|
|
|
|
Level 2
|
RM85,000
|
RM113
|
753 sqft
|
|
|
|
Level 1
|
RM125,000
|
RM166
|
753 sqft
|
|
|
|
Level 3
|
RM81,000
|
RM111
|
732 sqft
|
|
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Nilai 3
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Setul
Market Snapshot
RM98,000
RM130 psfMedian transaction price
RM2,838,000
RM225 psfMedian transaction price
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Kawasan Perindustrian Nilai 3, 71800 Nilai, Negeri Sembilan, Malaysia
MapsNilai 3 in Seremban, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM98K and a median price per square foot (PSF) of RM130.
This area contains both residential and commercial properties. View 11 residential properties or 15 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM98K, with most transactions falling within a stable range of RM81K to RM123K, and a typical market range of RM81K to RM150K.
Most transactions involved flats, with high diversity across multiple property types.
Price per square foot shows a median of RM130, though individual units vary from RM96 to RM164 in the core range. The broader market spans RM76.69 to RM183.44, indicating diverse property characteristics. A wider spread (IQR: RM106.75) and deviation (MAD: RM34) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.