Wangsa Melawati

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

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM625,000
Jalan Wangsa Budi 6A
1,098 sqft RM569 PSF
RM600,000
Jalan Wangsa Ceria 1D
1,119 sqft RM536 PSF
RM700,000
Wangsa Budi 5B
1,076 sqft RM650 PSF
RM700,000
Jalan Wangsa Murni 9
1,076 sqft RM650 PSF
RM590,000
Jalan Wangsa Murni 9
1,119 sqft RM527 PSF
RM532,000
Jalan Wangsa Murni 9
1,076 sqft RM494 PSF
Legend Recent Highest Price Highest PSF

Selling in Wangsa Melawati? Homes here sold for a median of RM612,500.

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Market Snapshot

RM612,500

RM552 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 6 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM613K and a median price per square foot (PSF) of RM552.

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 RM613K, with most transactions falling within a stable range of RM552K to RM673K, and a typical market range of RM532K to RM700K.

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

The median PSF stands at RM552, with core pricing between RM492 and RM613. Market pricing typically extends from RM474.12 to RM630.87, reflecting moderate variation in unit pricing. With an IQR of RM156.75 and MAD of RM60, 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.