Bandar Putra

Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia

Property Transactions

3 subsales grouped by size

Period
transactions middle 50% (P25–P75)
10,250 sqft
4-Sty Shop
RM1,280,000
Jalan Kenari 18
10,258 sqft · RM125 PSF
RM2,689,000
Jalan Kenari 1
10,258 sqft · RM262 PSF
RM2,900,000
Jalan Kenari 18
10,258 sqft · RM283 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Putra? Homes here sold for a median of RM2,689,000.

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Market Snapshot

RM495,000

RM307 psf

Median transaction price

RM2,689,000

RM262 psf

Median transaction price

Average

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Bandar Putra
© OpenStreetMap · CARTO

Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia

Maps

Bandar Putra in Kulai, Johor recorded 3 subsale transactions between 2021 and 2026, sized between 10,225 and 10,274 sqft, with a median price of RM2.69 million and a median price per square foot (PSF) of RM262.

This area contains both residential and commercial properties. View 1,636 residential properties or 73 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.69 million, with most transactions falling within a stable range of RM1.97 million to RM2.90 million, and a typical market range of RM2.55 million to RM2.83 million.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM262, though individual units vary from RM192 to RM332 in the core range. The broader market spans RM206.64 to RM317.64, indicating diverse property characteristics. A wider spread (IQR: RM111.00) and deviation (MAD: RM70) indicate significant PSF variations, likely due to diverse property types or conditions.

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.