Selling in Saujana Prima @ S2 Heights? Homes here sold for a median of RM958,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Saujana Prima @ S2 Heights
No posts about Saujana Prima @ S2 Heights yet. Be the first to share what’s happening here.
Nearby areas in Rasah
Pinggiran Bayu ( Mantau )
Taman Angsamas
Ara Sendayan @ Bandar Sri Sendayan
Taman Mantau Indah
Garden Avenue @ Seremban 2
Bandar Seremban Ii
Kemayan Country Township (Rasah Kemayan)
Taman Layang-Layang
Taman Bukit Kemayan (Kemayan Heights)
Garden Avenue @Seremban 2
Taman Rasah Jaya V
Bandar Seremban 3
Saujana Prima @ S2 Heights
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Rasah
Market Snapshot
ResidentialRM958,000
RM299 psfMedian transaction price
70300, Jln Saujana Prima, 70300 Seremban, Negeri Sembilan, Malaysia
MapsSaujana Prima @ S2 Heights in Seremban, Negeri Sembilan recorded 1 subsale transactions between 2021 and 2026, sized between 3,175 and 3,224 sqft, with a median price of RM958K and a median price per square foot (PSF) of RM299.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM299, with most transactions between RM299 and RM299. The usual range is RM281.41 to RM315.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.50 and an average deviation (MAD) of RM0 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.