Alpinia Retail Avenue(Nilai)

No. 1-G & 1-1 (Ground & First Floor, Jalan BBN 6/3B, Taman Desa Cempaka, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size · 3-Sty Shop →

Median
RM 901,000
PSF
RM 240
Price Size
Period
transactions middle 50% (P25–P75)
2,950 sqft
2-Sty Shop
RM 770,000
Uni Square Putra Nilai
2,971 sqft · RM 259 PSF
RM 812,000
Uni Square Putra Nilai
2,971 sqft · RM 273 PSF
4,500 sqft
3-Sty Shop
RM 990,000
Jalan Bbn 6/3B
4,489 sqft · RM 221 PSF
RM 990,000
Jalan Bbn 6/3
4,489 sqft · RM 221 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 901,000

RM 240 psf

Median transaction price

Alpinia Retail Avenue(Nilai)
© OpenStreetMap · CARTO

No. 1-G & 1-1 (Ground & First Floor, Jalan BBN 6/3B, Taman Desa Cempaka, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Alpinia Retail Avenue(Nilai) in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2023, with a median price of RM 901K and a median price per square foot (PSF) of RM 240.

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 901K, with most transactions falling within a stable range of RM 800K to RM 990K, and a typical market range of RM 896K to RM 906K.

Most transactions involved 3 - 3 1/2 storey shop, though some variety exists in the market.

For price per square foot, the median is RM 240, with most transactions between RM 216 and RM 263. The usual range is RM 236.87 to RM 242.87, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 6.00 and an average deviation (MAD) of RM 23 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.