Azelia Residence-Bandar Sri Damansara

Jalan PJU 9/1, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM550,000
PSF
RM807
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
Condo
RM528,000
Level 23
614 sqft · RM861 PSF
RM550,000
Level 16
614 sqft · RM896 PSF
RM495,000
Level 6
614 sqft · RM807 PSF
1,900 sqft
Condo
RM1,050,000
Level 22
1,905 sqft · RM551 PSF
2,100 sqft
Condo
RM1,250,000
Level 6
2,110 sqft · RM592 PSF
Legend Recent Highest Price Highest PSF

Selling in Azelia Residence-Bandar Sri Damansara? Homes here sold for a median of RM550,000.

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Market Snapshot

Residential

RM550,000

RM807 psf

Median transaction price

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Jalan PJU 9/1, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia

Maps

Azelia Residence-Bandar Sri Damansara in Petaling, Selangor recorded 5 subsale transactions in 2022, with a median price of RM550K and a median price per square foot (PSF) of RM807.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM550K, with most transactions falling within a stable range of RM495K to RM863K, and a typical market range of RM495K to RM780K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM807, with core pricing between RM665 and RM949. Market pricing typically extends from RM730.54 to RM883.04, reflecting moderate variation in unit pricing. The spread of RM152.50 (IQR) and deviation of RM142 (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.