Desa Melawati

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

Property Transactions

6 subsales grouped by size

Median
RM1,607,500
PSF
RM335
Price Size
Period
transactions middle 50% (P25–P75)
4,300 sqft
3-Sty Shop
RM1,465,000
Jalan 3/4C
4,295 sqft · RM341 PSF
5,050 sqft
3-Sty Shop
RM1,750,000
2/4C
5,059 sqft · RM346 PSF
RM1,750,000
Jalan 3/4C
5,059 sqft · RM346 PSF
RM1,420,000
Jalan 2/4C
5,059 sqft · RM281 PSF
RM1,300,000
Jalan 2/4C
5,059 sqft · RM257 PSF
8,550 sqft
3-Sty Shop
RM2,800,000
Jalan 4/4C
8,536 sqft · RM328 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 6 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.61 million and a median price per square foot (PSF) of RM335.

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 RM1.61 million, with most transactions falling within a stable range of RM1.30 million to RM2.11 million, and a typical market range of RM1.40 million to RM1.82 million.

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

The median PSF stands at RM335, with core pricing between RM300 and RM369. Market pricing typically extends from RM268.32 to RM400.82, reflecting moderate variation in unit pricing. With an IQR of RM132.50 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.