Bandar Putera, Klang

27, Lorong Gelang 7, Bandar Puteri, 41200 Klang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM390,000
Jalan Kebun Nenas 2M/Ks7
1,195 sqft · RM326 PSF
1,250 sqft
2-Sty Terrace
RM430,000
Jalan Kebun Nenas 2J/Ks7
1,238 sqft · RM347 PSF
RM445,000
Jalan Kebun Nenas
1,238 sqft · RM359 PSF
RM499,000
Jalan Kebun Nenas 2K/Ks7
1,238 sqft · RM403 PSF
1,300 sqft
2-Sty Terrace
RM520,000
Jalan Kebun Nenas 1E/Ks7
1,302 sqft · RM399 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM445,000

RM359 psf

Median transaction price

Bandar Putera, Klang
© OpenStreetMap · CARTO

27, Lorong Gelang 7, Bandar Puteri, 41200 Klang, Selangor, Malaysia

Maps

Bandar Putera, Klang in Klang, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM445K and a median price per square foot (PSF) of RM359.

This area contains both residential and commercial properties. View 25 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM445K, with most transactions falling within a stable range of RM398K to RM492K, and a typical market range of RM406K to RM484K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM359, with most transactions between RM330 and RM389. The usual range is RM320.87 to RM398.12, showing that most units are priced quite close to each other. With an IQR of RM77.25 and MAD of RM30, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.