Vista Angkasa Apartment

Jalan Kerinchi, Pantai Dalam, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Median
RM220,000
PSF
RM378
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM230,000
Level 8
581 sqft · RM396 PSF
RM230,000
Level 4
581 sqft · RM396 PSF
RM230,000
Level 12
581 sqft · RM396 PSF
RM180,000
Level 12
581 sqft · RM310 PSF
RM220,000
Level 14
581 sqft · RM378 PSF
RM180,000
Level 14
581 sqft · RM310 PSF
+3 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM220,000

RM378 psf

Median transaction price

Vista Angkasa Apartment
© OpenStreetMap · CARTO

Jalan Kerinchi, Pantai Dalam, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Vista Angkasa Apartment in Kuala Lumpur, Kuala Lumpur recorded 9 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM220K and a median price per square foot (PSF) of RM378.

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 RM220K, with most transactions falling within a stable range of RM197K to RM230K, and a typical market range of RM174K to RM230K.

Within the Low-Cost Flat category, condominium/apartment dominated the market, though some variety exists in the market.

The median PSF stands at RM378, with core pricing between RM339 and RM418. Market pricing typically extends from RM343.74 to RM413.24, reflecting moderate variation in unit pricing. With an IQR of RM69.50 and MAD of RM40, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.