Taman Melawis

41200 Klang, Selangor, Malaysia

Property Transactions

18 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM450,000
1,600 sqft
RM281 PSF
RM47,000
215 sqft
RM219 PSF
RM303,000
1,382 sqft
RM219 PSF
RM350,000
1,597 sqft
RM219 PSF
RM350,000
1,607 sqft
RM218 PSF
RM500,000
1,600 sqft
RM313 PSF
RM450,000
1,600 sqft
RM281 PSF
RM1,000,000
8,579 sqft
RM117 PSF
RM1,600,000
7,965 sqft
RM201 PSF
RM450,000
1,600 sqft
RM281 PSF
RM320,000
1,607 sqft
RM199 PSF
RM1,000,000
5,295 sqft
RM189 PSF
RM400,000
1,600 sqft
RM250 PSF
RM520,000
1,607 sqft
RM324 PSF
RM1,110,000
4,434 sqft
RM250 PSF
RM470,000
1,542 sqft
RM305 PSF
RM350,000
1,600 sqft
RM219 PSF
RM470,000
2,002 sqft
RM235 PSF
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Market Snapshot

Residential

RM450,000

RM235 psf

Median transaction price

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Taman Melawis, 41200 Klang, Selangor, Malaysia

Maps

Taman Melawis in Klang, Selangor recorded 18 subsale transactions between 2021 and 2026, with a median price of RM450K and a median price per square foot (PSF) of RM235.

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 RM450K, with most transactions falling within a stable range of RM350K to RM550K, and a typical market range of RM368K to RM533K.

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

The median PSF stands at RM235, with core pricing between RM194 and RM275. Market pricing typically extends from RM203.38 to RM266.13, reflecting moderate variation in unit pricing. The spread of RM62.75 (IQR) and deviation of RM41 (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.