Bandar Putra

Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia

Property Transactions

4 subsales grouped by size

Period
transactions middle 50% (P25–P75)
7,350 sqft
4-Sty Shop
RM1,250,000
Jalan Kenari 1
7,363 sqft · RM170 PSF
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

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Market Snapshot

RM495,000

RM307 psf

Median transaction price

RM1,984,500

RM216 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 4 4-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.98 million and a median price per square foot (PSF) of RM216.

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 RM1.98 million, with most transactions falling within a stable range of RM1.25 million to RM2.75 million, and a typical market range of RM1.84 million to RM2.13 million.

Within the 4-Storey Shop category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM216, though individual units vary from RM151 to RM281 in the core range. The broader market spans RM160.46 to RM271.46, indicating diverse property characteristics. A wider spread (IQR: RM111.00) and deviation (MAD: RM65) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.