Bandar Putera 2

41200 Klang, Selangor, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM 150,000
PSF
RM 228
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 150,000
Level 4
657 sqft · RM 228 PSF
RM 150,000
Level 4
657 sqft · RM 228 PSF
RM 172,000
Level G
657 sqft · RM 262 PSF
RM 155,000
Level 2
657 sqft · RM 236 PSF
RM 150,000
Level 4
650 sqft · RM 231 PSF
RM 130,000
Level 4
657 sqft · RM 198 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 150,000

RM 228 psf

Median transaction price

RM 929,000

RM 543 psf

Median transaction price

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Bandar Putera 2, 41200 Klang, Selangor, Malaysia

Maps

Bandar Putera 2 in Klang, Selangor recorded 11 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 228.

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 RM 150K, with most transactions falling within a stable range of RM 135K to RM 165K, and a typical market range of RM 125K to RM 172K.

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 RM 228, with most transactions between RM 206 and RM 251. The usual range is RM 204.33 to RM 252.58, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 48.25 and an average deviation (MAD) of RM 23 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.