| LIST.MY · Bandar Ainsdale (Suci) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Level 2
|
RM260,000
|
RM254
|
1,023 sqft
|
|
Townhouse |
|
Level 2
|
RM300,000
|
RM293
|
1,023 sqft
|
|
Townhouse |
|
Level 1
|
RM177,000
|
RM173
|
1,023 sqft
|
|
Townhouse |
| 2023 | |||||
|
Level 1
|
RM310,000
|
RM303
|
1,023 sqft
|
|
Townhouse |
|
Level 2
|
RM201,000
|
RM197
|
1,023 sqft
|
|
Townhouse |
Selling in Bandar Ainsdale (Suci)? Homes here sold for a median of RM260,000.
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Bandar Ainsdale (Embun)
Bandar Ainsdale (Suci)
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 Labu
Market Snapshot
ResidentialRM260,000
RM254 psfMedian transaction price
Bandar Ainsdale, Tiroi, Negeri Sembilan, Malaysia
MapsBandar Ainsdale (Suci) in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM260K and a median price per square foot (PSF) of RM254.
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 RM260K, with most transactions falling within a stable range of RM207K to RM310K, and a typical market range of RM218K to RM302K.
Most transactions involved town house, with minimal variety in property types.
Price per square foot shows a median of RM254, though individual units vary from RM203 to RM306 in the core range. The broader market spans RM215.26 to RM293.26, indicating diverse property characteristics. The spread of RM78.00 (IQR) and deviation of RM52 (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.