Park Avenue @ Seremban 2

Bandar Seremban, Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,000 sqft
2-Sty Terrace
RM595,000
Jalan S2 H9
2,002 sqft · RM297 PSF
3,200 sqft
Semi-D
RM790,000
Jalan S2 H12
3,208 sqft · RM246 PSF
Legend Recent Highest Price Highest PSF

Selling in Park Avenue @ Seremban 2? Homes here sold for a median of RM692,500.

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

List your property free

Posts about Park Avenue @ Seremban 2

What’s happening in Park Avenue @ Seremban 2?

No posts about Park Avenue @ Seremban 2 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM692,500

RM272 psf

Median transaction price

Loading map...

Bandar Seremban, Seremban, Negeri Sembilan, Malaysia

Maps

Park Avenue @ Seremban 2 in Seremban, Negeri Sembilan recorded 2 subsale transactions in 2022, with a median price of RM693K and a median price per square foot (PSF) of RM272.

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 RM693K, with most transactions falling within a stable range of RM595K to RM790K, and a typical market range of RM595K to RM790K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM272, with most transactions between RM246 and RM297. The usual range is RM247.99 to RM295.49, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.50 and an average deviation (MAD) of RM25 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.