Bandar Putra

Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia

Property Transactions

4 subsales grouped by size

Period
transactions middle 50% (P25–P75)
RM1,550,000
Jalan Indah 1
4,715 sqft · RM329 PSF
RM947,000
Off Jalan Lebuh Putra Utama
4,707 sqft · RM201 PSF
RM1,066,000
Bandar Putra
4,687 sqft · RM227 PSF
RM574,000
Jalan Pipit 3
4,678 sqft · RM123 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Putra? Homes here sold for a median of RM1,006,500.

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Market Snapshot

RM1,006,500

RM214 psf

Median transaction price

RM908,000

RM535 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 subsale transactions between 2021 and 2026, sized between 4,675 and 4,724 sqft, with a median price of RM1.01 million and a median price per square foot (PSF) of RM214.

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 RM1.01 million, with most transactions falling within a stable range of RM658K to RM1.36 million, and a typical market range of RM866K to RM1.15 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 RM214, though individual units vary from RM141 to RM288 in the core range. The broader market spans RM158.80 to RM269.80, indicating diverse property characteristics. A wider spread (IQR: RM111.00) and deviation (MAD: RM74) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.