De Kiara Apartment-Bandar Setia Alam

4, Persiaran Setia Makmur, Setia Alam, Seksyen U13, 40170 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Median
RM300,000
PSF
RM367

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM306,000
Level 8
818 sqft · RM374 PSF
RM300,000
Level 2
818 sqft · RM367 PSF
RM300,000
Level 4
818 sqft · RM367 PSF
RM275,000
Level 7
818 sqft · RM336 PSF
RM300,000
Level 7
818 sqft · RM367 PSF
RM278,000
Level 15
818 sqft · RM340 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in De Kiara Apartment-Bandar Setia Alam? Homes here sold for a median of RM300,000.

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Market Snapshot

Residential

RM300,000

RM367 psf

Median transaction price

De Kiara Apartment-Bandar Setia Alam
© OpenStreetMap · CARTO

4, Persiaran Setia Makmur, Setia Alam, Seksyen U13, 40170 Shah Alam, Selangor, Malaysia

Maps

De Kiara Apartment-Bandar Setia Alam in Petaling, Selangor recorded 9 subsale transactions in 2024, with a median price of RM300K and a median price per square foot (PSF) of RM367.

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 RM300K, with most transactions falling within a stable range of RM285K to RM315K, and a typical market range of RM283K to RM318K.

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

For price per square foot, the median is RM367, with most transactions between RM348 and RM385. The usual range is RM345.22 to RM388.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.00 and an average deviation (MAD) of RM18 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.