| LIST.MY · Nilai Impian (Laman Delfina) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Delfina 1/9
|
RM650,000
|
RM382
|
1,701 sqft
|
|
2-Sty Terrace |
|
Laman Delfina
|
RM540,000
|
RM318
|
1,701 sqft
|
|
2-Sty Terrace |
|
Jalan Delfina 1/5
|
RM520,000
|
RM308
|
1,690 sqft
|
|
2-Sty Terrace |
|
Jalan Laman Delfina 2/5
|
RM850,000
|
RM441
|
1,927 sqft
|
|
2-Sty Terrace |
Selling in Nilai Impian (Laman Delfina)? Homes here sold for a median of RM595,000.
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Nilai Impian (Laman Delfina)
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
ResidentialRM595,000
RM350 psfMedian transaction price
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsNilai Impian (Laman Delfina) in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2024, with a median price of RM595K and a median price per square foot (PSF) of RM350.
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 RM595K, with most transactions falling within a stable range of RM520K to RM726K, and a typical market range of RM520K to RM686K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM350, with core pricing between RM296 and RM404. Market pricing typically extends from RM312.36 to RM387.36, reflecting moderate variation in unit pricing. The spread of RM75.00 (IQR) and deviation of RM54 (MAD) suggest moderate price variations reflecting different property features.
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.