Sek. 13 Shah Alam

Seksyen 13, Shah Alam, Selangor, Malaysia

Property Transactions

10 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM340,000
Level 9
786 sqft · RM433 PSF
RM320,000
Level 11
786 sqft · RM407 PSF
RM300,000
Level 13
797 sqft · RM377 PSF
850 sqft
Condo
RM320,000
Level 2
850 sqft · RM377 PSF
950 sqft
Condo
RM335,000
Level 14
926 sqft · RM362 PSF
RM290,000
Level 14
926 sqft · RM313 PSF
RM373,000
Level 12
926 sqft · RM403 PSF
1,250 sqft
Condo
RM470,000
Level 3
1,249 sqft · RM376 PSF
1,400 sqft
Condo
RM450,000
Level 1
1,410 sqft · RM319 PSF
RM495,000
Level 2
1,410 sqft · RM351 PSF
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Market Snapshot

Residential

RM337,500

RM376 psf

Median transaction price

Sek. 13 Shah Alam
© OpenStreetMap · CARTO

Seksyen 13, Shah Alam, Selangor, Malaysia

Maps

Sek. 13 Shah Alam in Petaling, Selangor recorded 10 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM338K and a median price per square foot (PSF) of RM376.

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 RM338K, with most transactions falling within a stable range of RM290K to RM409K, and a typical market range of RM290K to RM495K.

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

For price per square foot, the median is RM376, with most transactions between RM341 and RM412. The usual range is RM290.59 to RM462.34, showing that most units are priced quite close to each other. With an IQR of RM171.75 and MAD of RM36, 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.