| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM50,000
|
RM55
|
905 sqft
|
|
|
|
Level 1
|
RM53,000
|
RM59
|
905 sqft
|
|
Posts about Bandar Universiti Teknologi Lagenda
No posts about Bandar Universiti Teknologi Lagenda yet. Be the first to share what’s happening here.
Nearby areas in Setul
Nilai Impian
Kawasan Perusahaan Nilai 3
Taman Semarak Ii
Taman Nusa Seri Cengal 2 & 3
Xme business park
Nilai Industrial Zone
Kawasan Perindustrian Nilai 3
Taman Desaria
Bandar Universiti Teknologi Lagenda
Taman Bukit Mantin
Taman Mantin Putra
Bandar Uni. Tekn. Lagenda (Sri Palma Villa)
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
ResidentialRM53,000
RM59 psfMedian transaction price
Taman Permai Jaya, 71700 Mantin, Negeri Sembilan, Malaysia
MapsBandar Universiti Teknologi Lagenda in Seremban, Negeri Sembilan recorded 3 Flat properties subsale transactions between 2021 and 2026, with a median price of RM53K and a median price per square foot (PSF) of RM59.
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 RM53K, with most transactions falling within a stable range of RM50K to RM57K, and a typical market range of RM50K to RM60K.
Within the Flat category, condominium/apartment dominated the market, with minimal variety in property types.
For price per square foot, the median is RM59, with most transactions between RM55 and RM62. The usual range is RM47.07 to RM70.07, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.00 and an average deviation (MAD) of RM4 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.