Residensi Mirage

Jalan Yap Kwan Seng, Kampung Baru, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM1,864,000
PSF
RM1,221
Period
transactions middle 50% (P25–P75)
1,450 sqft
Condo
RM1,800,000
Level 16
1,475 sqft · RM1,221 PSF
RM1,800,000
Level 18
1,475 sqft · RM1,221 PSF
1,650 sqft
Condo
RM1,864,000
Level 12
1,668 sqft · RM1,117 PSF
RM1,914,000
Level 16
1,668 sqft · RM1,147 PSF
1,700 sqft
Condo
RM2,534,000
Level 22
1,701 sqft · RM1,490 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM1,864,000

RM1,221 psf

Median transaction price

Residensi Mirage
© OpenStreetMap · CARTO

Jalan Yap Kwan Seng, Kampung Baru, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Mirage in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM1.86 million and a median price per square foot (PSF) of RM1,221.

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 RM1.86 million, with most transactions falling within a stable range of RM1.80 million to RM1.93 million, and a typical market range of RM1.81 million to RM1.92 million.

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

For price per square foot, the median is RM1,221, with most transactions between RM1,147 and RM1,295. The usual range is RM1,183.62 to RM1,257.62, showing that most units are priced quite close to each other. With an IQR of RM74.00 and MAD of RM74, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.