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

5 subsales grouped by size · 3-Sty Shop →

Median
RM 1,000,000
PSF
RM 223
Price Size
Period
transactions middle 50% (P25–P75)
4,500 sqft
3-Sty Shop
RM 990,000
Putra Nilai
4,489 sqft · RM 221 PSF
RM 1,000,000
Putra Nilai
4,489 sqft · RM 223 PSF
RM 1,050,000
Putra Nilai
4,489 sqft · RM 234 PSF
RM 1,300,000
Putra Nilai
4,489 sqft · RM 290 PSF
RM 990,000
Putra Nilai
4,489 sqft · RM 221 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 1,000,000

RM 223 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 5 subsale transactions in 2022, with a median price of RM 1.00 million and a median price per square foot (PSF) of RM 223.

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 1.00 million, with most transactions falling within a stable range of RM 990K to RM 1.12 million, and a typical market range of RM 995K to RM 1.01 million.

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

The median PSF stands at RM 223, with core pricing between RM 196 and RM 249. Market pricing typically extends from RM 219.79 to RM 225.79, reflecting moderate variation in unit pricing. With an IQR of RM 6.00 and MAD of RM 27, 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. 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.