Property Type
| Price | PSF | Size | Date | Type |
|---|
|
RM190,000
|
RM159
|
1,195 sqft
|
|
|
|
RM160,000
|
RM134
|
1,195 sqft
|
|
|
|
RM158,000
|
RM132
|
1,195 sqft
|
|
|
RM220,000
|
RM169
|
1,302 sqft
|
|
|
|
RM178,000
|
RM137
|
1,302 sqft
|
|
Selling in Taman Asoka? Homes here sold for a median of RM175,000.
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Nearby areas in Pekan Mantin
Taman Asoka
Taman Permai Jaya
Taman Setul
Taman Mantin
Pekan Mantin
Taman Gading Indah
Taman Orkid
Mantin Square
Taman Sentosa (Mantin)
Taman Seraya Mantin
Taman Tong Seng
Taman Bunga Raya (Mantin)
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 Pekan Mantin
Market Snapshot
ResidentialRM167,500
RM134 psfMedian transaction price
Taman Asoka, 71700 Mantin, Negeri Sembilan, Malaysia
MapsTaman Asoka in Seremban, Negeri Sembilan recorded 11 subsale transactions between 2021 and 2026, with a median price of RM175K and a median price per square foot (PSF) of RM134.
This area contains both residential and commercial properties. View 10 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM175K, with most transactions falling within a stable range of RM155K to RM195K, and a typical market range of RM156K to RM194K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM134, with core pricing between RM118 and RM150. Market pricing typically extends from RM121.36 to RM147.36, reflecting moderate variation in unit pricing. With an IQR of RM26.00 and MAD of RM16, the PSF demonstrates reasonable consistency across the market.
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.