Sek. 11 Shah Alam

Seksyen 11, 40100 Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 750,000
PSF
RM 257
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
2-Sty Terrace
RM 750,000
Jalan Kuda Kepang 11/2C
1,496 sqft · RM 501 PSF
1,600 sqft
2-Sty Terrace
RM 580,000
Jalan Zapin 11/2B
1,593 sqft · RM 364 PSF
3,000 sqft
Terrace
RM 625,000
Jalan Nafiri 11/5C
2,978 sqft · RM 210 PSF
3,250 sqft
Terrace
RM 840,000
Jalan Wau Tujuh 11/1G
3,272 sqft · RM 257 PSF
7,700 sqft
Semi-D
RM 1,550,000
Jalan Nobat 11/2L
7,718 sqft · RM 201 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 750,000

RM 257 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 5 subsale transactions in 2021, with a median price of RM 750K and a median price per square foot (PSF) of RM 257.

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 750K, with most transactions falling within a stable range of RM 580K to RM 1.10 million, and a typical market range of RM 580K to RM 1.16 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 257, though individual units vary from RM 143 to RM 370 in the core range. The broader market spans RM 203.96 to RM 309.46, indicating diverse property characteristics. A wider spread (IQR: RM 105.50) and deviation (MAD: RM 113) 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.