Gaya Melawati

Taman Melawati, Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 330,000
PSF
RM 619
Price Size
500 sqft
Condo
RM 300,000
Level 12
484 sqft · RM 619 PSF
RM 280,000
Level 9
484 sqft · RM 578 PSF
RM 320,000
Level 5
484 sqft · RM 661 PSF
RM 330,000
Level 7
484 sqft · RM 681 PSF
950 sqft
Condo
RM 600,000
Level 7
958 sqft · RM 626 PSF
1,050 sqft
Condo
RM 540,000
Level 10
1,052 sqft · RM 513 PSF
RM 500,000
Level 7
1,066 sqft · RM 469 PSF
7
transactions

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Market Snapshot

Residential

RM 330,000

RM 619 psf

Median transaction price

Gaya Melawati
© OpenStreetMap · CARTO

Taman Melawati, Kuala Lumpur, Selangor, Malaysia

Maps

Gaya Melawati in Gombak, Selangor recorded 7 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 330K and a median price per square foot (PSF) of RM 619.

This area contains both residential and commercial properties. View 9 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 330K, with most transactions falling within a stable range of RM 280K to RM 452K, and a typical market range of RM 280K to RM 443K.

Within the Condo/Apartment category, cluster houselow-cost dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 619, with core pricing between RM 548 and RM 691. Market pricing typically extends from RM 582.85 to RM 655.85, reflecting moderate variation in unit pricing. With an IQR of RM 73.00 and MAD of RM 72, 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.