Santalia Villa

Jalan Santalia Villa, Taman Santalia Villa, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM649,000
PSF
RM192
Period
transactions middle 50% (P25–P75)
3,350 sqft
Semi-D
RM665,000
Jalan Nilai Santalia
3,358 sqft · RM198 PSF
RM647,000
Jlan Nilai Santalia
3,369 sqft · RM192 PSF
RM647,000
Jlan Nilai Santalia
3,369 sqft · RM192 PSF
RM730,000
Jlan Nilai Santalia
3,337 sqft · RM219 PSF
RM665,000
Jlan Nilai Santalia
3,358 sqft · RM198 PSF
3,400 sqft
Semi-D
RM649,000
Jlan Nilai Santalia
3,380 sqft · RM192 PSF
RM649,000
Jlan Nilai Santalia
3,380 sqft · RM192 PSF
RM530,000
Jlan Nilai Santalia
3,391 sqft · RM156 PSF
RM649,000
Jlan Nilai Santalia
3,380 sqft · RM192 PSF
RM586,000
Jlan Nilai Santalia
3,391 sqft · RM173 PSF
RM746,000
Jlan Nilai Santalia
3,412 sqft · RM219 PSF
Legend Recent Highest Price Highest PSF

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Jalan Santalia Villa, Taman Santalia Villa, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Santalia Villa in Seremban, Negeri Sembilan recorded 11 subsale transactions between 2021 and 2026, with a median price of RM649K and a median price per square foot (PSF) of RM192.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM649K, with most transactions falling within a stable range of RM633K to RM665K, and a typical market range of RM640K to RM658K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.

For price per square foot, the median is RM192, with most transactions between RM186 and RM198. The usual range is RM189.04 to RM195.04, showing that most units are priced quite close to each other. A typical spread (IQR) of RM6.00 and an average deviation (MAD) of RM6 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.