Infiniti 3 Residences

Jalan Seri Wangsa 2, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM565,000
PSF
RM520
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM530,000
Level 11
1,087 sqft · RM488 PSF
RM600,000
Level 21
1,087 sqft · RM552 PSF
Legend Recent Highest Price Highest PSF

Selling in Infiniti 3 Residences? Homes here sold for a median of RM565,000.

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Market Snapshot

Residential

RM565,000

RM520 psf

Median transaction price

Average

Does INFINITI 3 RESIDENCES rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Infiniti 3 Residences
© OpenStreetMap · CARTO

Jalan Seri Wangsa 2, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Infiniti 3 Residences in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM565K and a median price per square foot (PSF) of RM520.

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 RM565K, with most transactions falling within a stable range of RM530K to RM600K, and a typical market range of RM530K to RM600K.

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

For price per square foot, the median is RM520, with most transactions between RM488 and RM552. The usual range is RM445.71 to RM593.71, showing that most units are priced quite close to each other. With an IQR of RM148.00 and MAD of RM32, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.