Taman Melewar

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM600,000
Jalan Marmar 1
1,499 sqft RM400 PSF
RM400,000
Jalan Marmar 1
1,499 sqft RM267 PSF
RM500,000
Jalan Marmar 1
1,499 sqft RM333 PSF
RM490,000
Jalan Marmar 1
1,499 sqft RM327 PSF
RM560,000
Jalan Marmar 1
1,500 sqft RM373 PSF
RM420,000
Jalan Marmar 1
1,499 sqft RM280 PSF
RM470,000
Jalan Marmar 1
1,500 sqft RM313 PSF
RM410,000
Jalan Marmar 2
1,499 sqft RM273 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM480,000

RM320 psf

Median transaction price

Taman Melewar
© OpenStreetMap · CARTO

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Taman Melewar in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM480K and a median price per square foot (PSF) of RM320.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM480K, with most transactions falling within a stable range of RM413K to RM547K, and a typical market range of RM400K to RM600K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM320, with core pricing between RM275 and RM365. Market pricing typically extends from RM272.76 to RM367.26, reflecting moderate variation in unit pricing. With an IQR of RM94.50 and MAD of RM45, 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.