| LIST.MY · Mesa Hill | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Level 6
|
RM160,000
|
RM457
|
350 sqft
|
|
Serviced Apt |
|
Level 7
|
RM160,000
|
RM457
|
350 sqft
|
|
Serviced Apt |
|
Level 8
|
RM155,000
|
RM443
|
350 sqft
|
|
Serviced Apt |
|
Level 11
|
RM160,000
|
RM457
|
350 sqft
|
|
Serviced Apt |
|
Level 19
|
RM305,000
|
RM469
|
650 sqft
|
|
Serviced Apt |
|
Level 13
|
RM230,000
|
RM354
|
650 sqft
|
|
Serviced Apt |
|
Level 9
|
RM157,000
|
RM449
|
350 sqft
|
|
Serviced Apt |
Selling in Mesa Hill? Homes here sold for a median of RM160,000.
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Mesa Hill Apartment
Mesa Hill
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
MapsMesa Hill in Seremban, Negeri Sembilan recorded 7 subsale transactions in 2024, with a median price of RM160K and a median price per square foot (PSF) of RM457.
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 RM160K, with most transactions falling within a stable range of RM155K to RM213K, and a typical market range of RM155K to RM175K.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM457, with most transactions between RM421 and RM493. The usual range is RM442.59 to RM471.59, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM36 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.