Sek. 10, Shah Alam
Seksyen 10, 40100 Shah Alam, Selangor, Malaysia
Seksyen 10, 40100 Shah Alam, Selangor, Malaysia
| Price | PSF | Size | Date | Type |
|---|
|
RM 550,000
|
RM 347
|
1,583 sqft
|
|
|
|
RM 420,000
|
RM 265
|
1,586 sqft
|
|
|
|
RM 620,000
|
RM 224
|
2,769 sqft
|
|
|
RM 500,000
|
RM 304
|
1,646 sqft
|
|
|
|
RM 520,000
|
RM 314
|
1,658 sqft
|
|
|
RM 600,000
|
RM 367
|
1,636 sqft
|
|
|
|
RM 520,000
|
RM 317
|
1,640 sqft
|
|
|
RM 980,000
|
RM 806
|
1,216 sqft
|
|
|
RM 550,000
|
RM 452
|
1,216 sqft
|
|
Posts about Sek. 10, Shah Alam
No posts about Sek. 10, Shah Alam yet. Be the first to share what’s happening here.
Property News
More property news →
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 550,000
RM 333 psfMedian transaction price
Seksyen 10, 40100 Shah Alam, Selangor, Malaysia
MapsSek. 10, Shah Alam in Petaling, Selangor recorded 17 subsale transactions between 2021 and 2026, with a median price of RM 550K and a median price per square foot (PSF) of RM 347.
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 550K, with most transactions falling within a stable range of RM 480K to RM 620K, and a typical market range of RM 490K to RM 610K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM 347, with most transactions between RM 318 and RM 376. The usual range is RM 319.95 to RM 374.95, showing that most units are priced quite close to each other. With an IQR of RM 55.00 and MAD of RM 29, the PSF demonstrates reasonable consistency across the market.
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.