| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 05
|
RM120,000
|
RM118
|
1,020 sqft
|
|
|
|
Level 07
|
RM95,000
|
RM93
|
1,020 sqft
|
|
|
|
Level 3
|
RM95,000
|
RM93
|
1,020 sqft
|
|
|
|
Level 6
|
RM110,000
|
RM108
|
1,020 sqft
|
|
|
|
Level 8
|
RM95,000
|
RM93
|
1,020 sqft
|
|
|
|
Level 8
|
RM98,000
|
RM96
|
1,020 sqft
|
|
Selling in Sri Palma Villa @Bandar Uni. Tekn. Lagenda? Homes here sold for a median of RM96,500.
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Bandar Uni. Tekn. Lagenda (Sri Palma Villa)
Sri Palma Villa @Bandar Uni. Tekn. Lagenda
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 Setul
Market Snapshot
ResidentialRM96,500
RM95 psfMedian transaction price
71700 Mantin, Negeri Sembilan, Malaysia
MapsSri Palma Villa @Bandar Uni. Tekn. Lagenda in Seremban, Negeri Sembilan recorded 6 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM97K and a median price per square foot (PSF) of RM95.
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 RM97K, with most transactions falling within a stable range of RM95K to RM106K, and a typical market range of RM95K to RM109K.
Within the Serviced Apt category, condominium/apartment dominated the market, though some variety exists in the market.
For price per square foot, the median is RM95, with most transactions between RM85 and RM104. The usual range is RM82.11 to RM107.11, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM9 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.