Metia -Seksyen 13 Shah Alam

Seksyen 13, 40100 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

11 subsales grouped by size

Median
RM450,000
PSF
RM447
Period
transactions middle 50% (P25–P75)
800 sqft
Serviced Apt
RM349,000
Level 11
807 sqft · RM432 PSF
RM345,000
Level 10
807 sqft · RM427 PSF
850 sqft
Serviced Apt
RM420,000
Level 8
850 sqft · RM494 PSF
RM380,000
Level 9
850 sqft · RM447 PSF
1,000 sqft
Serviced Apt
RM450,000
Level 12
1,023 sqft · RM440 PSF
RM480,000
Level 11
1,018 sqft · RM472 PSF
RM480,000
Level 12
1,023 sqft · RM469 PSF
RM460,000
Level 9
1,023 sqft · RM450 PSF
RM430,000
Level 10
1,018 sqft · RM422 PSF
RM450,000
Level 20
1,018 sqft · RM442 PSF
1,350 sqft
Serviced Apt
RM620,000
Level 10
1,367 sqft · RM454 PSF
Legend Recent Highest Price Highest PSF

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Seksyen 13, 40100 Shah Alam, Selangor, Malaysia

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Metia -Seksyen 13 Shah Alam in Petaling, Selangor recorded 11 subsale transactions between 2021 and 2026, with a median price of RM450K and a median price per square foot (PSF) of RM447.

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 RM450K, with most transactions falling within a stable range of RM420K to RM480K, and a typical market range of RM415K to RM485K.

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

For price per square foot, the median is RM447, with most transactions between RM432 and RM462. The usual range is RM434.12 to RM459.62, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.50 and an average deviation (MAD) of RM15 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.