Bandar Universiti Teknologi Lagenda

Taman Permai Jaya, 71700 Mantin, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size · Condo →

Median
RM 60,000
PSF
RM 65
Price Size
Period
transactions middle 50% (P25–P75)
RM 60,000
Level 4
930 sqft · RM 65 PSF
RM 60,000
Level 3
930 sqft · RM 65 PSF
RM 55,000
Level 4
930 sqft · RM 59 PSF
RM 60,000
Level 4
930 sqft · RM 65 PSF
RM 101,000
Level 3
930 sqft · RM 109 PSF
1,000 sqft
Condo
RM 55,000
Level 4
1,000 sqft · RM 55 PSF
RM 100,000
Level 5
1,000 sqft · RM 100 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 60,000

RM 65 psf

Median transaction price

Bandar Universiti Teknologi Lagenda
© OpenStreetMap · CARTO

Taman Permai Jaya, 71700 Mantin, Negeri Sembilan, Malaysia

Maps

Bandar Universiti Teknologi Lagenda in Seremban, Negeri Sembilan recorded 7 subsale transactions in 2023, with a median price of RM 60K and a median price per square foot (PSF) of RM 65.

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 RM 60K, with most transactions falling within a stable range of RM 55K to RM 79K, and a typical market range of RM 55K to RM 70K.

Most transactions involved condominium/apartment, with minimal variety in property types.

Price per square foot shows a median of RM 65, though individual units vary from RM 45 to RM 84 in the core range. The broader market spans RM 53.02 to RM 76.02, indicating diverse property characteristics. A wider spread (IQR: RM 23.00) and deviation (MAD: RM 20) 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.