Pangsapuri Sri Budiman
Persiaran Pulau Lumut, Alam Budiman, 40170 Shah Alam, Selangor, Malaysia
Persiaran Pulau Lumut, Alam Budiman, 40170 Shah Alam, Selangor, Malaysia
| LIST.MY · Pangsapuri Sri Budiman | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Level G
|
RM110,000
|
RM568
|
194 sqft
|
|
Shop |
| 2024 | |||||
|
Level 1
|
RM100,000
|
RM516
|
194 sqft
|
|
Shop |
|
Level G
|
RM115,000
|
RM594
|
194 sqft
|
|
Shop |
|
Level G
|
RM120,000
|
RM619
|
194 sqft
|
|
Shop |
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Pangsapuri Sri Budiman
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 Bukit Raja
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Market Snapshot
CommercialRM112,500
RM581 psfMedian transaction price
Persiaran Pulau Lumut, Alam Budiman, 40170 Shah Alam, Selangor, Malaysia
MapsPangsapuri Sri Budiman in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM113K and a median price per square foot (PSF) of RM594.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM113K, with most transactions falling within a stable range of RM108K to RM118K, and a typical market range of RM108K to RM117K.
Most transactions involved shop unit/retail lot, with minimal variety in property types.
For price per square foot, the median is RM594, with most transactions between RM568 and RM619. The usual range is RM570.93 to RM616.18, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.25 and an average deviation (MAD) of RM26 indicate a highly stable PSF trend across properties.
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.