Desa Melawati

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

Property Transactions

4 subsales grouped by size

Median
RM1,190,000
PSF
RM585
Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM880,000
Jalan 8/4
1,442 sqft · RM610 PSF
1,800 sqft
2-Sty Terrace
RM800,000
Jalan 8/4
1,787 sqft · RM448 PSF
2,400 sqft
2-Sty Terrace
RM1,500,000
Jalan Desa Melawati 1A (Casa Rimba)
2,400 sqft · RM625 PSF
3,350 sqft
2-Sty Terrace
RM1,870,000
Jalan Desa Melawati 1A (Casa Rimba)
3,337 sqft · RM560 PSF
Legend Recent Highest Price Highest PSF

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Desa Melawati
© OpenStreetMap · CARTO

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

Maps

Desa Melawati in Kuala Lumpur, Kuala Lumpur recorded 4 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM1.19 million and a median price per square foot (PSF) of RM585.

This area contains both residential and commercial properties. View 4 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.19 million, with most transactions falling within a stable range of RM800K to RM1.63 million, and a typical market range of RM980K to RM1.40 million.

Within the Double Storey Terraced category, 3 - 3 1/2 storey shop dominated the market, though some variety exists in the market.

The median PSF stands at RM585, with core pricing between RM516 and RM655. Market pricing typically extends from RM519.01 to RM651.51, reflecting moderate variation in unit pricing. With an IQR of RM132.50 and MAD of RM70, 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.