Bandar Damai Perdana

43200 Kuala Lumpur, Selangor, Malaysia

Property Transactions

13 subsales grouped by size

Median
RM 150,000
PSF
RM 231
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 170,000
Level 2
646 sqft · RM 263 PSF
RM 140,000
Level 1
650 sqft · RM 215 PSF
RM 130,000
Level 2
650 sqft · RM 200 PSF
RM 150,000
Level 3
650 sqft · RM 231 PSF
RM 150,000
Level 1
650 sqft · RM 231 PSF
RM 175,000
Level 2
650 sqft · RM 269 PSF
+7 more
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Market Snapshot

RM 150,000

RM 231 psf

Median transaction price

RM 1,700,000

RM 1,091 psf

Median transaction price

Average

Rental Yield Data

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Bandar Damai Perdana
© OpenStreetMap · CARTO

Bandar Damai Perdana, 43200 Kuala Lumpur, Selangor, Malaysia

Maps

Bandar Damai Perdana in Hulu Langat, Selangor recorded 13 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 231.

This area contains both residential and commercial properties. View 342 residential properties or 21 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 150K, with most transactions falling within a stable range of RM 135K to RM 165K, and a typical market range of RM 130K to RM 180K.

Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 231, with core pricing between RM 207 and RM 255. Market pricing typically extends from RM 163.30 to RM 298.30, reflecting moderate variation in unit pricing. With an IQR of RM 135.00 and MAD of RM 24, 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.