Taman Medan-Jalan Klang Lama

Jalan Klang Lama, Petaling Jaya, Selangor, Malaysia

Property Transactions

10 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM108,000
Level 4
624 sqft · RM173 PSF
RM129,000
Level 3
624 sqft · RM207 PSF
RM110,000
Level 4
619 sqft · RM178 PSF
RM130,000
Level 4
624 sqft · RM208 PSF
RM125,000
Level 2
624 sqft · RM200 PSF
RM125,000
Level 3
624 sqft · RM200 PSF
+4 more
Legend Recent Highest Price Highest PSF

Selling in Taman Medan-Jalan Klang Lama? Homes here sold for a median of RM125,000.

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Market Snapshot

Residential

RM125,000

RM200 psf

Median transaction price

Taman Medan-Jalan Klang Lama
© OpenStreetMap · CARTO

Jalan Klang Lama, Petaling Jaya, Selangor, Malaysia

Maps

Taman Medan-Jalan Klang Lama in Petaling, Selangor recorded 10 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM125K and a median price per square foot (PSF) of RM200.

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 RM125K, with most transactions falling within a stable range of RM106K to RM144K, and a typical market range of RM85K to RM150K.

Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM200, with core pricing between RM170 and RM230. Market pricing typically extends from RM105.35 to RM295.10, reflecting moderate variation in unit pricing. The spread of RM189.75 (IQR) and deviation of RM30 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.