| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM280,000
|
RM302
|
926 sqft
|
|
|
|
Level G
|
RM300,000
|
RM324
|
926 sqft
|
|
|
|
Level 1
|
RM260,000
|
RM281
|
926 sqft
|
|
|
Level 2
|
RM260,000
|
RM254
|
1,023 sqft
|
|
|
|
Level 2
|
RM300,000
|
RM293
|
1,023 sqft
|
|
|
|
Level 1
|
RM177,000
|
RM173
|
1,023 sqft
|
|
|
|
Level 1
|
RM310,000
|
RM303
|
1,023 sqft
|
|
|
|
Level 2
|
RM201,000
|
RM197
|
1,023 sqft
|
|
|
Jalan 1A/7
|
RM350,000
|
RM316
|
1,109 sqft
|
|
Selling in Bandar Ainsdale (Suci)? Homes here sold for a median of RM270,000.
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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
ResidentialRM270,000
RM287 psfMedian transaction price
Bandar Ainsdale, Tiroi, Negeri Sembilan, Malaysia
MapsBandar Ainsdale (Suci) in Seremban, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM287.
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 RM270K, with most transactions falling within a stable range of RM215K to RM325K, and a typical market range of RM228K to RM312K.
Most transactions involved town house, with minimal variety in property types.
The median PSF stands at RM287, with core pricing between RM236 and RM338. Market pricing typically extends from RM248.12 to RM326.12, reflecting moderate variation in unit pricing. The spread of RM78.00 (IQR) and deviation of RM51 (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.