| LIST.MY · Melati Square | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2026 | |||||
|
Jalan Melati Square 22
|
RM690,000
|
RM337
|
2,045 sqft
|
|
1-Sty Shop |
| 2024 | |||||
|
Jalan Melati Square 15
|
RM550,000
|
RM269
|
2,045 sqft
|
|
1-Sty Shop |
| 2023 | |||||
|
Jalan Melati Square ( Putra Nilai )
|
RM630,000
|
RM308
|
2,045 sqft
|
|
1-Sty Shop |
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Nearby areas in Bandar Nilai Utama Sek.1
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Desa Palma Apartment
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Taman Desa Cempaka
Taman Desa Jasmin ( Bbn )
Taman Desa Indah
1, Taman Bucida Hijauan
Taman Desa Melati
Apartment Desa Jati
Camelia Court
Mesa Hill Apartment
Melati Square
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
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsMelati Square in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 2,025 and 2,074 sqft, with a median price of RM630K and a median price per square foot (PSF) of RM308.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM630K, with most transactions falling within a stable range of RM573K to RM687K, and a typical market range of RM590K to RM670K.
Most transactions involved 1 - 1 1/2 storey shop, with minimal variety in property types.
For price per square foot, the median is RM308, with most transactions between RM280 and RM336. The usual range is RM295.05 to RM321.05, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.00 and an average deviation (MAD) of RM28 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.