Taman Desa

58100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size · 2-Sty Terrace →

Median
RM 1,350,000
PSF
RM 787
Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM 1,350,000
Jalan Desa Mesra
1,690 sqft · RM 799 PSF
RM 1,330,000
Jalan Desa Utama
1,690 sqft · RM 787 PSF
4,400 sqft
Semi-D
RM 2,390,000
Jalan Desa Mesra
4,424 sqft · RM 540 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 1,350,000

RM 787 psf

Median transaction price

RM 285,000

RM 427 psf

Median transaction price

Low

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Taman Desa
© OpenStreetMap · CARTO

Taman Desa, 58100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Taman Desa in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2026, with a median price of RM 1.35 million and a median price per square foot (PSF) of RM 787.

This area contains both residential and commercial properties. View 87 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.35 million, with most transactions falling within a stable range of RM 1.33 million to RM 1.85 million, and a typical market range of RM 1.33 million to RM 1.69 million.

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

The median PSF stands at RM 787, with core pricing between RM 668 and RM 906. Market pricing typically extends from RM 713.75 to RM 860.25, reflecting moderate variation in unit pricing. The spread of RM 146.50 (IQR) and deviation of RM 119 (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.