Arab Malaysian Industrial Park (Nilai)

Arab Malaysian Industrial Park, Nilai, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 625,000
PSF
RM 312
Price Size
Period
transactions middle 50% (P25–P75)
2,000 sqft
Terrace Factory
RM 440,000
Lorong P/Am 4/1
2,002 sqft · RM 220 PSF
RM 530,000
Lorong P/Am 4/1
2,002 sqft · RM 265 PSF
RM 720,000
Lorong P/Am 3/1
2,002 sqft · RM 360 PSF
RM 720,000
Lorong P/Am 5/1
2,002 sqft · RM 360 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 625,000

RM 312 psf

Median transaction price

Arab Malaysian Industrial Park (Nilai)
© OpenStreetMap · CARTO

Arab Malaysian Industrial Park, Nilai, Negeri Sembilan, Malaysia

Maps

Arab Malaysian Industrial Park (Nilai) in Seremban, Negeri Sembilan recorded 4 Terraced Factory properties subsale transactions between 2021 and 2026, with a median price of RM 625K and a median price per square foot (PSF) of RM 312.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 625K, with most transactions falling within a stable range of RM 503K to RM 720K, and a typical market range of RM 440K to RM 720K.

Within the Terraced Factory category, detached factory/warehouse dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 312, with core pricing between RM 251 and RM 373. Market pricing typically extends from RM 290.17 to RM 334.17, reflecting moderate variation in unit pricing. The spread of RM 44.00 (IQR) and deviation of RM 61 (MAD) suggest moderate price variations reflecting different property features.

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.