| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Perindustrian Xme
|
RM3,400,000
|
RM390
|
8,719 sqft
|
|
|
Jalan Platinum 5/1
|
RM3,150,000
|
RM356
|
8,858 sqft
|
|
|
Jalan Platinum 5/5
|
RM3,200,000
|
RM357
|
8,965 sqft
|
|
|
Jalan Seremban - Nilai
|
RM4,420,000
|
RM248
|
17,823 sqft
|
|
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Xme Business Park (Nilai Impian)
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
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Does XME BUSINESS PARK (NILAI IMPIAN) rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Lebuhraya Utara-Selatan, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsXme Business Park (Nilai Impian) in Seremban, Negeri Sembilan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM3.30 million and a median price per square foot (PSF) of RM357.
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 RM3.30 million, with most transactions falling within a stable range of RM3.18 million to RM3.43 million, and a typical market range of RM3.15 million to RM3.53 million.
Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM357, with most transactions between RM340 and RM374. The usual range is RM338.88 to RM375.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.25 and an average deviation (MAD) of RM17 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.