Taman Melati

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

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From
RM600K
Size
800 sqft

Property Transactions

12 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM240,000
Level G
549 sqft · RM437 PSF
RM270,000
Level G
549 sqft · RM492 PSF
RM165,000
Level G
549 sqft · RM301 PSF
RM250,000
Level G
549 sqft · RM455 PSF
RM220,000
Level 2
549 sqft · RM401 PSF
RM260,000
Level G
549 sqft · RM474 PSF
+6 more
Legend Recent Highest Price Highest PSF

Selling in Taman Melati? Homes here sold for a median of RM240,000.

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Market Snapshot

RM240,000

RM437 psf

Median transaction price

RM1,400,000

RM858 psf

Median transaction price

Taman Melati
© OpenStreetMap · CARTO

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

Maps

Taman Melati in Kuala Lumpur, Kuala Lumpur recorded 12 subsale transactions between 2021 and 2026, sized between 525 and 574 sqft, with a median price of RM240K and a median price per square foot (PSF) of RM437.

This area contains both residential and commercial properties. View 112 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM240K, with most transactions falling within a stable range of RM213K to RM267K, and a typical market range of RM205K to RM270K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

The median PSF stands at RM437, with core pricing between RM387 and RM487. Market pricing typically extends from RM387.35 to RM486.85, reflecting moderate variation in unit pricing. With an IQR of RM99.50 and MAD of RM50, 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.