Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM150,000
|
RM228
|
657 sqft
|
|
|
|
Level 4
|
RM150,000
|
RM228
|
657 sqft
|
|
|
|
Level G
|
RM172,000
|
RM262
|
657 sqft
|
|
|
|
Level 2
|
RM155,000
|
RM236
|
657 sqft
|
|
|
|
Level 4
|
RM150,000
|
RM231
|
650 sqft
|
|
|
|
Level 4
|
RM130,000
|
RM198
|
657 sqft
|
|
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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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Market Snapshot
RM150,000
RM228 psfMedian transaction price
RM929,000
RM543 psfMedian transaction price
Bandar Putera 2, 41200 Klang, Selangor, Malaysia
MapsBandar Putera 2 in Klang, Selangor recorded 11 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM228.
This area contains both residential and commercial properties. View 335 residential properties or 19 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM150K, with most transactions falling within a stable range of RM135K to RM165K, and a typical market range of RM125K to RM172K.
Within the Low-Cost Flat category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM228, with most transactions between RM206 and RM251. The usual range is RM204.33 to RM252.58, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.25 and an average deviation (MAD) of RM23 indicate a highly stable PSF trend across properties.
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.