Sek. 13 Shah Alam

Seksyen 13, Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 1,240,000
PSF
RM 505
Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM 745,000
Jalan Ping Pong 13/19
1,711 sqft · RM 435 PSF
2,250 sqft
Semi-D
RM 1,150,000
Jalan Akuatik 13/77F
2,239 sqft · RM 514 PSF
2,450 sqft
Semi-D
RM 1,240,000
Jalan Akuatik 13/77D
2,454 sqft · RM 505 PSF
4,500 sqft
Bungalow
RM 4,052,000
Villa Elemen (Jalan Kelab Golf 13/6
4,499 sqft · RM 901 PSF
5,500 sqft
Semi-D
RM 1,800,000
Jalan 13/6
5,511 sqft · RM 327 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,240,000

RM 505 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 5 subsale transactions in 2025, with a median price of RM 1.24 million and a median price per square foot (PSF) of RM 505.

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 RM 1.24 million, with most transactions falling within a stable range of RM 745K to RM 2.42 million, and a typical market range of RM 745K to RM 1.99 million.

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

Price per square foot shows a median of RM 505, though individual units vary from RM 311 to RM 699 in the core range. The broader market spans RM 419.39 to RM 591.14, indicating diverse property characteristics. A wider spread (IQR: RM 171.75) and deviation (MAD: RM 194) indicate significant PSF variations, likely due to diverse property types or conditions.

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.