Idaman Villa @ Bandar Sri Sendayan

Persiaran Idaman Villa, 70300 Siliau, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM690,000
PSF
RM69
Price Size
Period
transactions middle 50% (P25–P75)
10,000 sqft
Bungalow
RM690,000
Jalan Idaman Villa 6
10,010 sqft · RM69 PSF
RM690,000
Jalan Idaman Villa 6
10,010 sqft · RM69 PSF
RM660,000
Jalan Idaman Villa 13
10,010 sqft · RM66 PSF
RM665,000
Jalan Idaman Villa 6
10,010 sqft · RM66 PSF
RM799,000
Jalan Idaman Villa 4
10,010 sqft · RM80 PSF
Legend Recent Highest Price Highest PSF

Selling in Idaman Villa @ Bandar Sri Sendayan? Homes here sold for a median of RM690,000.

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Market Snapshot

Residential

RM690,000

RM69 psf

Median transaction price

Idaman Villa @ Bandar Sri Sendayan
© OpenStreetMap · CARTO

Persiaran Idaman Villa, 70300 Siliau, Negeri Sembilan, Malaysia

Maps

Idaman Villa @ Bandar Sri Sendayan in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM690K and a median price per square foot (PSF) of RM69.

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 RM690K, with most transactions falling within a stable range of RM660K to RM741K, and a typical market range of RM671K to RM709K.

Most transactions involved detached, with minimal variety in property types.

For price per square foot, the median is RM69, with most transactions between RM64 and RM74. The usual range is RM67.06 to RM70.81, showing that most units are priced quite close to each other. A typical spread (IQR) of RM3.75 and an average deviation (MAD) of RM5 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.