Desa Petaling

57100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM190,000
Level 1
1,507 sqft RM126 PSF
RM790,000
Level G
1,507 sqft RM524 PSF
RM800,000
Level G
1,507 sqft RM531 PSF
RM778,000
Jalan 9/125D
1,485 sqft RM524 PSF
RM778,000
Level G
1,488 sqft RM523 PSF
Legend Recent Highest Price Highest PSF

Selling in Desa Petaling? Homes here sold for a median of RM778,000.

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Market Snapshot

RM152,500

RM286 psf

Median transaction price

RM778,000

RM524 psf

Median transaction price

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Desa Petaling, 57100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Desa Petaling in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM778K and a median price per square foot (PSF) of RM524.

This area contains both residential and commercial properties. View 60 residential properties or 23 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM778K, with most transactions falling within a stable range of RM539K to RM800K, and a typical market range of RM566K to RM800K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

Price per square foot shows a median of RM524, though individual units vary from RM364 to RM684 in the core range. The broader market spans RM413.26 to RM634.26, indicating diverse property characteristics. A wider spread (IQR: RM221.00) and deviation (MAD: RM160) 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.