Desa Pandan

Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 350,000
PSF
RM 395
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Condo
RM 350,000
Level 1
721 sqft · RM 485 PSF
RM 285,000
Level 4
721 sqft · RM 395 PSF
RM 245,000
Level 2
721 sqft · RM 340 PSF
1,450 sqft
Condo
RM 500,000
Level 1
1,475 sqft · RM 339 PSF
RM 600,000
Level 2
1,475 sqft · RM 407 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 350,000

RM 395 psf

Median transaction price

RM 1,200,000

RM 878 psf

Median transaction price

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Desa Pandan, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Desa Pandan in Kuala Lumpur, Kuala Lumpur recorded 5 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 350K and a median price per square foot (PSF) of RM 395.

This area contains both residential and commercial properties. View 123 residential properties or 18 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 350K, with most transactions falling within a stable range of RM 245K to RM 484K, and a typical market range of RM 280K to RM 420K.

Within the Condo/Apartment category, flats dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 395, with core pricing between RM 341 and RM 449. Market pricing typically extends from RM 354.19 to RM 436.19, reflecting moderate variation in unit pricing. With an IQR of RM 82.00 and MAD of RM 54, the PSF demonstrates reasonable consistency across the market.

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.