Selling in Rimbun Irama @ S2 Heights? Homes here sold for a median of RM560,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Rimbun Irama @ S2 Heights
No posts about Rimbun Irama @ 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
Rimbun Irama @ 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
ResidentialRM560,000
RM317 psfMedian transaction price
144, Jln Saujana Sutera 3, 70300 Seremban, Negeri Sembilan, Malaysia
MapsRimbun Irama @ S2 Heights in Seremban, Negeri Sembilan recorded 1 subsale transactions between 2021 and 2026, sized between 1,725 and 1,774 sqft, with a median price of RM560K and a median price per square foot (PSF) of RM317.
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, with minimal variety in property types.
For price per square foot, the median is RM317, with most transactions between RM317 and RM317. The usual range is RM289.23 to RM345.23, showing that most units are priced quite close to each other. With an IQR of RM56.00 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.