Tiara Sentral

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

Property Transactions

12 subsales grouped by road

Median
RM2,715,000
PSF
RM240
Period
transactions middle 50% (P25–P75)
RM3,200,000
12,820 sqft
RM250 PSF
RM2,800,000
10,699 sqft
RM262 PSF
RM2,600,000
9,849 sqft
RM264 PSF
RM2,780,000
9,752 sqft
RM285 PSF
RM2,370,000
10,419 sqft
RM227 PSF
RM2,450,000
10,193 sqft
RM240 PSF
RM2,800,000
14,047 sqft
RM199 PSF
RM2,730,000
10,495 sqft
RM260 PSF
RM2,895,000
12,572 sqft
RM230 PSF
RM2,500,000
10,495 sqft
RM238 PSF
RM2,700,000
14,004 sqft
RM193 PSF
RM2,300,000
10,000 sqft
RM230 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM2,715,000

RM239 psf

Median transaction price

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

Maps

Tiara Sentral in Seremban, Negeri Sembilan recorded 12 subsale transactions between 2021 and 2026, with a median price of RM2.72 million and a median price per square foot (PSF) of RM240.

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 RM2.72 million, with most transactions falling within a stable range of RM2.57 million to RM2.86 million, and a typical market range of RM2.56 million to RM2.87 million.

Most transactions involved semi-detached factory/warehouse, with minimal variety in property types.

For price per square foot, the median is RM240, with most transactions between RM224 and RM257. The usual range is RM224.73 to RM255.98, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.25 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.