| Price | PSF | Size | Date | Type |
|---|
|
RM1,300,000
|
RM312
|
4,171 sqft
|
|
|
|
RM1,088,000
|
RM283
|
3,848 sqft
|
|
|
|
RM1,104,000
|
RM261
|
4,236 sqft
|
|
|
|
RM1,350,000
|
RM314
|
4,296 sqft
|
|
|
|
RM1,094,000
|
RM274
|
3,988 sqft
|
|
|
|
RM1,137,000
|
RM267
|
4,258 sqft
|
|
|
|
RM1,202,000
|
RM183
|
6,561 sqft
|
|
|
RM1,800,000
|
RM240
|
7,502 sqft
|
|
Semi-D |
|
RM1,300,000
|
RM280
|
4,650 sqft
|
|
Semi-D |
|
RM1,630,000
|
RM250
|
6,530 sqft
|
|
Bungalow |
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Nilai Spring Villas
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 Nilai Utama Sek.1
Market Snapshot
ResidentialRM1,300,000
RM277 psfMedian transaction price
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsNilai Spring Villas in Seremban, Negeri Sembilan recorded 18 subsale transactions between 2021 and 2026, with a median price of RM1.30 million and a median price per square foot (PSF) of RM280.
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 RM1.30 million, with most transactions falling within a stable range of RM1.09 million to RM1.51 million, and a typical market range of RM1.06 million to RM1.54 million.
Most transactions involved 2 - 2 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM280, with most transactions between RM253 and RM307. The usual range is RM255.32 to RM303.82, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.50 and an average deviation (MAD) of RM27 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.