Wangsa Melawati

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

Property Transactions

2 subsales grouped by size

Median
RM1,841,000
PSF
RM655
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM532,000
Jalan Wangsa Murni 9
1,076 sqft · RM494 PSF
3,850 sqft
Bungalow
RM3,150,000
Lorong Wangsa Melawati 6A2
3,864 sqft · RM815 PSF
Legend Recent Highest Price Highest PSF

Selling in Wangsa Melawati? Homes here sold for a median of RM1,841,000.

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Market Snapshot

RM1,841,000

RM655 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 2 subsale transactions in 2021, with a median price of RM1.84 million and a median price per square foot (PSF) of RM655.

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 RM1.84 million, with most transactions falling within a stable range of RM532K to RM3.15 million, and a typical market range of RM1.63 million to RM2.05 million.

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

Price per square foot shows a median of RM655, though individual units vary from RM494 to RM815 in the core range. The broader market spans RM576.34 to RM733.09, indicating diverse property characteristics. The spread of RM156.75 (IQR) and deviation of RM160 (MAD) suggest moderate price variations reflecting different property features.

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.