Arowana Apartment

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

Property Transactions

2 subsales found

Median
RM132,500
PSF
RM205

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM140,000
Level 2
646 sqft RM217 PSF
RM125,000
Level 3
646 sqft RM194 PSF
Legend Recent Highest Price Highest PSF

Selling in Arowana Apartment? Homes here sold for a median of RM132,500.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

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

RM132,500

RM205 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 2 subsale transactions in 2021, with a median price of RM133K and a median price per square foot (PSF) of RM205.

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 RM133K, with most transactions falling within a stable range of RM125K to RM140K, and a typical market range of RM125K to RM140K.

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

For price per square foot, the median is RM205, with most transactions between RM194 and RM217. The usual range is RM193.66 to RM216.66, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.00 and an average deviation (MAD) of RM12 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.