| LIST.MY · Bandar Universiti Teknologi Lagenda | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2022 | |||||
|
Level 1
|
RM50,000
|
RM55
|
905 sqft
|
|
Flat |
|
Level 1
|
RM50,000
|
RM55
|
905 sqft
|
|
Condo |
|
Level 1
|
RM53,000
|
RM59
|
905 sqft
|
|
Flat |
|
Level 1
|
RM80,000
|
RM88
|
904 sqft
|
|
Condo |
|
Level G
|
RM80,000
|
RM88
|
904 sqft
|
|
Condo |
Selling in Bandar Universiti Teknologi Lagenda? Homes here sold for a median of RM53,000.
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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 5 subsale transactions between 2021 and 2026, sized between 875 and 924 sqft, 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 RM67K, and a typical market range of RM50K to RM63K.
Most transactions involved condominium/apartment, with minimal variety in property types.
Price per square foot shows a median of RM59, though individual units vary from RM43 to RM74 in the core range. The broader market spans RM47.07 to RM70.07, indicating diverse property characteristics. A wider spread (IQR: RM23.00) and deviation (MAD: RM16) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.