| LIST.MY · Uni Square | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2022 | |||||
|
Uni Square Putra Nilai
|
RM1,341,000
|
RM392
|
3,423 sqft
|
|
2-Sty Shop |
|
Off Persiaran Perdana Bbn
|
RM812,000
|
RM273
|
2,971 sqft
|
|
2-Sty Shop |
|
Off Persiaran Perdana Bbn
|
RM1,382,000
|
RM278
|
4,973 sqft
|
|
3-Sty Shop |
|
Off Persiaran Perdana Bbn
|
RM1,412,000
|
RM284
|
4,973 sqft
|
|
3-Sty Shop |
Selling in Uni Square? Homes here sold for a median of RM1,361,500.
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Uni Square
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 Bandar Nilai Utama Sek.1
Market Snapshot
CommercialRM1,361,500
RM281 psfMedian transaction price
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsUni Square in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2022, with a median price of RM1.36 million and a median price per square foot (PSF) of RM281.
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 RM1.36 million, with most transactions falling within a stable range of RM1.11 million to RM1.41 million, and a typical market range of RM1.07 million to RM1.41 million.
Most transactions involved aced1 - 1 1/2 storey , though some variety exists in the market.
The median PSF stands at RM281, with core pricing between RM232 and RM330. Market pricing typically extends from RM149.17 to RM412.67, reflecting moderate variation in unit pricing. The spread of RM263.50 (IQR) and deviation of RM49 (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.