Off Jalan Kelang Lama

Jln Klang Lama, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM2,390,000
PSF
RM402
Price Size
Period
transactions middle 50% (P25–P75)
4,400 sqft
Semi-D
RM3,800,000
Jalan Seputeh
4,424 sqft · RM859 PSF
5,500 sqft
Bungalow
RM1,525,000
Jalan Meru Selekoh
5,489 sqft · RM278 PSF
5,950 sqft
Bungalow
RM2,390,000
Jalan Chekor
5,948 sqft · RM402 PSF
Legend Recent Highest Price Highest PSF

Selling in Off Jalan Kelang Lama? Homes here sold for a median of RM2,390,000.

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Market Snapshot

Residential

RM2,390,000

RM402 psf

Median transaction price

Off Jalan Kelang Lama
© OpenStreetMap · CARTO

Jln Klang Lama, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Off Jalan Kelang Lama in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2024, with a median price of RM2.39 million and a median price per square foot (PSF) of RM402.

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 RM2.39 million, with most transactions falling within a stable range of RM1.53 million to RM3.33 million, and a typical market range of RM1.72 million to RM3.06 million.

Most transactions involved detached, with high diversity across multiple property types.

Price per square foot shows a median of RM402, though individual units vary from RM152 to RM652 in the core range. The broader market spans RM200.28 to RM603.28, indicating diverse property characteristics. A wider spread (IQR: RM403.00) and deviation (MAD: RM250) indicate significant PSF variations, likely due to diverse property types or conditions.

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.