Uni Square

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM1,389,000
PSF
RM279
Price Size
Period
transactions middle 50% (P25–P75)
4,950 sqft
3-Sty Shop
RM1,341,000
Off Persiaran Perdana Bbn
4,973 sqft · RM270 PSF
RM1,341,000
Off Persiaran Perdana Bbn
4,973 sqft · RM270 PSF
RM1,427,000
Off Persiaran Perdana Bbn
4,973 sqft · RM287 PSF
RM1,396,000
Off Persiaran Perdana Bbn
4,973 sqft · RM281 PSF
RM1,382,000
Off Persiaran Perdana Bbn
4,973 sqft · RM278 PSF
RM1,412,000
Off Persiaran Perdana Bbn
4,973 sqft · RM284 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM1,389,000

RM279 psf

Median transaction price

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Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Uni Square in Seremban, Negeri Sembilan recorded 6 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.39 million and a median price per square foot (PSF) of RM279.

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 RM1.39 million, with most transactions falling within a stable range of RM1.36 million to RM1.42 million, and a typical market range of RM1.34 million to RM1.43 million.

Within the 3-Storey Shop category, aced1 - 1 1/2 storey dominated the market, though some variety exists in the market.

For price per square foot, the median is RM279, with most transactions between RM273 and RM286. The usual range is RM147.56 to RM411.06, showing that most units are priced quite close to each other. With an IQR of RM263.50 and MAD of RM7, the PSF demonstrates reasonable consistency across the market.

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.