Desa Aman

Jalan Desa Aman, Taman Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM140,000
Level G
615 sqft · RM228 PSF
1,600 sqft
2-Sty Terrace
RM820,000
Jalan. Desa Aman 6
1,582 sqft · RM518 PSF
1,700 sqft
2-Sty Terrace
RM870,000
Jalan 2/101A
1,711 sqft · RM508 PSF
2,550 sqft
Semi-D
RM1,830,000
Jalan Desa Aman 10
2,540 sqft · RM720 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM845,000

RM513 psf

Median transaction price

Desa Aman
© OpenStreetMap · CARTO

Jalan Desa Aman, Taman Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Desa Aman in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2024, with a median price of RM845K and a median price per square foot (PSF) of RM513.

This area contains both residential and commercial properties. View 24 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM845K, with most transactions falling within a stable range of RM243K to RM1.45 million, and a typical market range of RM575K to RM1.12 million.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM513, though individual units vary from RM338 to RM689 in the core range. The broader market spans RM416.04 to RM610.54, indicating diverse property characteristics. A wider spread (IQR: RM194.50) and deviation (MAD: RM175) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.