Eco Ardence

PT 8, Persiaran Setia Alam, Setia Alam, 40170 Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales found

Median
RM1,538,000
PSF
RM772
Price Size
Period
transactions middle 50% (P25–P75)
RM1,450,000
Jalan Eco Ardence U12/38B
1,991 sqft RM728 PSF
RM1,600,000
Jalan Eco Ardence U12/38B
1,991 sqft RM803 PSF
RM1,538,000
Jalan Eco Ardence U12/38D
1,991 sqft RM772 PSF
RM1,750,000
Jalan Eco Ardence U12/38B
1,991 sqft RM879 PSF
RM768,000
Jalan Eco Ardence U12/38D
1,991 sqft RM386 PSF
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Market Snapshot

Residential

RM1,538,000

RM772 psf

Median transaction price

Low

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Eco Ardence
© OpenStreetMap · CARTO

PT 8, Persiaran Setia Alam, Setia Alam, 40170 Shah Alam, Selangor, Malaysia

Maps

Eco Ardence in Petaling, Selangor recorded 5 subsale transactions between 2021 and 2026, sized between 1,975 and 2,024 sqft, with a median price of RM1.54 million and a median price per square foot (PSF) of RM772.

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 RM1.54 million, with most transactions falling within a stable range of RM1.20 million to RM1.75 million, and a typical market range of RM1.22 million to RM1.75 million.

Most transactions involved 2 - 2 1/2 storey semi-detached, with high diversity across multiple property types.

Price per square foot shows a median of RM772, though individual units vary from RM601 to RM944 in the core range. The broader market spans RM715.35 to RM829.35, indicating diverse property characteristics. The spread of RM114.00 (IQR) and deviation of RM171 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.