Sek. 11 Shah Alam

Seksyen 11, 40100 Shah Alam, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM480,000
Jalan Wau Tujuh 11/1G
1,539 sqft · RM312 PSF
1,650 sqft
Terrace
RM440,000
Jalan Sunting 11/6C
1,658 sqft · RM265 PSF
RM550,000
Jalan Serunai 11/5G
1,648 sqft · RM334 PSF
RM480,000
Jalan Nafiri 11/5C
1,649 sqft · RM291 PSF
RM495,000
Jalan Gedombak
1,648 sqft · RM300 PSF
3,000 sqft
Terrace
RM625,000
Jalan Nafiri 11/5C
2,978 sqft · RM210 PSF
3,250 sqft
Terrace
RM840,000
Jalan Wau Tujuh 11/1G
3,272 sqft · RM257 PSF
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Market Snapshot

Residential

RM495,000

RM291 psf

Median transaction price

Sek. 11 Shah Alam
© OpenStreetMap · CARTO

Seksyen 11, 40100 Shah Alam, Selangor, Malaysia

Maps

Sek. 11 Shah Alam in Petaling, Selangor recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM495K and a median price per square foot (PSF) of RM291.

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 RM495K, with most transactions falling within a stable range of RM440K to RM623K, and a typical market range of RM440K to RM840K.

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

The median PSF stands at RM291, with core pricing between RM253 and RM329. Market pricing typically extends from RM238.35 to RM343.85, reflecting moderate variation in unit pricing. With an IQR of RM105.50 and MAD of RM38, 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.