| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Idaman Villa 6
|
RM635,000
|
RM63
|
10,010 sqft
|
|
Selling in Idaman Villa @ Bandar Sri Sendayan? Homes here sold for a median of RM635,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Idaman Villa @ Bandar Sri Sendayan
No posts about Idaman Villa @ Bandar Sri Sendayan yet. Be the first to share what’s happening here.
Nearby areas in Bandar Sri Sendayan
Taman Nusari Bayu 1
Taman Nusari Bayu 2
Resort Residence 1
Nusari Aman 3
Resort Residence 2
Nusari Aman 1
Hijayu 2 - Resort Homes
Nusari Aman 2
Hijayu 1
Hijayu 3
Hijayu Aman
Hijayu 3B @ Bandar Sri Sendayan
Idaman Villa @ Bandar Sri Sendayan
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 Bandar Sri Sendayan
Market Snapshot
ResidentialRM635,000
RM63 psfMedian transaction price
Persiaran Idaman Villa, 70300 Siliau, Negeri Sembilan, Malaysia
MapsIdaman Villa @ Bandar Sri Sendayan in Seremban, Negeri Sembilan recorded 1 subsale transactions in 2021, with a median price of RM635K and a median price per square foot (PSF) of RM63.
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 detached, with minimal variety in property types.
For price per square foot, the median is RM63, with most transactions between RM63 and RM63. The usual range is RM61.56 to RM65.31, showing that most units are priced quite close to each other. A typical spread (IQR) of RM3.75 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.