Arowana Apartment

Jalan Arowana 6, Taman Arowana Impian, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

11 subsales grouped by size · Condo →

Median
RM143,000
PSF
RM221
Period
transactions middle 50% (P25–P75)
RM170,000
Level 3
646 sqft · RM263 PSF
RM160,000
Level 3
646 sqft · RM248 PSF
RM143,000
Level G
646 sqft · RM221 PSF
RM148,000
Level G
646 sqft · RM229 PSF
RM140,000
Level 3
646 sqft · RM217 PSF
RM130,000
Level 3
646 sqft · RM201 PSF
+5 more
Legend Recent Highest Price Highest PSF

Posts about Arowana Apartment

What’s happening in Arowana Apartment?

No posts about Arowana Apartment yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM143,000

RM221 psf

Median transaction price

Loading map...

Jalan Arowana 6, Taman Arowana Impian, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Arowana Apartment in Seremban, Negeri Sembilan recorded 11 subsale transactions between 2021 and 2026, with a median price of RM143K and a median price per square foot (PSF) of RM221.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM143K, with most transactions falling within a stable range of RM136K to RM150K, and a typical market range of RM136K to RM151K.

Most transactions involved condominium/apartment, though some variety exists in the market.

For price per square foot, the median is RM221, with most transactions between RM210 and RM232. The usual range is RM209.92 to RM232.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.00 and an average deviation (MAD) of RM11 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.