| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nsh 8
|
RM1,100,000
|
RM524
|
2,099 sqft
|
|
|
|
Jalan Hsh 7
|
RM690,000
|
RM329
|
2,099 sqft
|
|
|
|
Jalan Nsh 9
|
RM700,000
|
RM333
|
2,099 sqft
|
|
|
|
Jalan Nsh 9
|
RM710,000
|
RM338
|
2,099 sqft
|
|
|
|
Jalan Nsh 5
|
RM700,000
|
RM333
|
2,099 sqft
|
|
|
|
Jalan Nsh 8
|
RM700,000
|
RM333
|
2,099 sqft
|
|
|
Jalan Nsh 3
|
RM1,280,000
|
RM267
|
4,790 sqft
|
|
|
Jalan Nsh 1
|
RM2,500,000
|
RM282
|
8,859 sqft
|
|
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Nilai Springs 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 Bandar Nilai Utama Sek.1
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Market Snapshot
ResidentialRM705,000
RM308 psfMedian transaction price
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsNilai Springs Heights in Seremban, Negeri Sembilan recorded 12 subsale transactions between 2021 and 2026, with a median price of RM705K and a median price per square foot (PSF) of RM334.
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 RM705K, with most transactions falling within a stable range of RM665K to RM745K, and a typical market range of RM650K to RM843K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM334, with most transactions between RM325 and RM343. The usual range is RM320.50 to RM346.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.00 and an average deviation (MAD) of RM9 indicate a highly stable PSF trend across properties.
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.