Bandar Uni. Teknologi Lagenda (Sri Jasmin)

Taman Permai Jaya, 71700 Mantin, Negeri Sembilan, Malaysia

Property Transactions

13 subsales grouped by size

Median
RM55,000
PSF
RM54
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM50,000
Level 3
1,020 sqft · RM49 PSF
RM65,000
Level 1
1,020 sqft · RM64 PSF
RM65,000
Level 2
1,020 sqft · RM64 PSF
RM47,000
Level 3
1,020 sqft · RM46 PSF
RM48,000
Level 3
1,020 sqft · RM47 PSF
RM55,000
Level 3
1,020 sqft · RM54 PSF
+7 more
Legend Recent Highest Price Highest PSF

Selling in Bandar Uni. Teknologi Lagenda (Sri Jasmin)? Homes here sold for a median of RM55,000.

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Market Snapshot

Residential

RM55,000

RM54 psf

Median transaction price

Bandar Uni. Teknologi Lagenda (Sri Jasmin)
© OpenStreetMap · CARTO

Taman Permai Jaya, 71700 Mantin, Negeri Sembilan, Malaysia

Maps

Bandar Uni. Teknologi Lagenda (Sri Jasmin) in Seremban, Negeri Sembilan recorded 13 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM55K and a median price per square foot (PSF) of RM54.

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 RM55K, with most transactions falling within a stable range of RM47K to RM65K, and a typical market range of RM48K to RM63K.

Within the Condo/Apartment category, condominium/apartment dominated the market, though some variety exists in the market.

The median PSF stands at RM54, with core pricing between RM44 and RM64. Market pricing typically extends from RM46.42 to RM61.42, reflecting moderate variation in unit pricing. The spread of RM15.00 (IQR) and deviation of RM10 (MAD) suggest moderate price variations reflecting different property features.

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.