Wangsa Melawati

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM550,000
Wangsa Ceria 7B
872 sqft · RM631 PSF
RM480,000
Jalan Wangsa Ceria 8
872 sqft · RM551 PSF
RM490,000
Jalan Wangsa Ceria 9
872 sqft · RM562 PSF
Legend Recent Highest Price Highest PSF

Selling in Wangsa Melawati? Homes here sold for a median of RM490,000.

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Market Snapshot

RM490,000

RM562 psf

Median transaction price

RM1,650,000

RM1,294 psf

Median transaction price

Wangsa Melawati
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Wangsa Melawati in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, sized between 825 and 874 sqft, with a median price of RM490K and a median price per square foot (PSF) of RM562.

This area contains both residential and commercial properties. View 42 residential properties or 8 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM490K, with most transactions falling within a stable range of RM480K to RM521K, and a typical market range of RM480K to RM550K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM562, with most transactions between RM527 and RM597. The usual range is RM483.63 to RM640.38, showing that most units are priced quite close to each other. With an IQR of RM156.75 and MAD of RM35, 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.