Seksyen 30, Shah Alam
Seksyen 30, 40460 Shah Alam, Selangor, Malaysia
Seksyen 30, 40460 Shah Alam, Selangor, Malaysia
| LIST.MY · Seksyen 30, Shah Alam | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Tanjung Bidara 30/76A
|
RM650,000
|
RM158
|
4,112 sqft
|
|
Bungalow |
| 2021 | |||||
|
Jalan 30/32A
|
RM350,000
|
RM85
|
4,101 sqft
|
|
Bungalow |
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marks an area with a property for sale or rent on our marketplace
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kelang
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More property news →Market Snapshot
ResidentialRM500,000
RM122 psfMedian transaction price
Seksyen 30, 40460 Shah Alam, Selangor, Malaysia
MapsSeksyen 30, Shah Alam in Klang, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 4,075 and 4,124 sqft, with a median price of RM500K and a median price per square foot (PSF) of RM122.
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 RM500K, with most transactions falling within a stable range of RM350K to RM650K, and a typical market range of RM416K to RM584K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM122, though individual units vary from RM85 to RM158 in the core range. The broader market spans RM57.83 to RM185.58, indicating diverse property characteristics. A wider spread (IQR: RM127.75) and deviation (MAD: RM36) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.