Wangsa Melawati

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

Property Transactions

2 subsales grouped by size

Median
RM1,350,000
PSF
RM571
Price Size
Period
transactions middle 50% (P25–P75)
2,050 sqft
2-Sty Terrace
RM1,000,000
Jalan Wangsa Ceria 1A
2,034 sqft · RM492 PSF
2,600 sqft
2-Sty Shop
RM1,700,000
Jalan Wangsa Murni 4
2,616 sqft · RM650 PSF
Legend Recent Highest Price Highest PSF

Selling in Wangsa Melawati? Homes here sold for a median of RM1,350,000.

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Market Snapshot

RM1,000,000

RM492 psf

Median transaction price

RM1,700,000

RM650 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 2 subsale transactions in 2026, with a median price of RM1.35 million and a median price per square foot (PSF) of RM571.

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 RM1.35 million, with most transactions falling within a stable range of RM1.00 million to RM1.70 million, and a typical market range of RM1.14 million to RM1.56 million.

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

The median PSF stands at RM571, with core pricing between RM492 and RM650. Market pricing typically extends from RM492.63 to RM649.38, reflecting moderate variation in unit pricing. With an IQR of RM156.75 and MAD of RM79, 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.