Bandar Putra
Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia
Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia
Property Type
Posts about Bandar Putra
No posts about Bandar Putra yet. Be the first to share what’s happening here.
Nearby areas in Senai
Bandar Putra
Taman Scientex Senai
D'art Hills Residence
Taman Mutiara Hijau
D'putra Suites
Taman Senai Jaya
Taman Saga
Taman Desa Idaman
Taman Impian Senai
Senai Industrial Park
Taman Mewah Kulai
Taman Makmur
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Senai
Market Snapshot
RM495,000
RM307 psfMedian transaction price
RM805,000
RM125 psfMedian transaction price
Know your return before you buy
See the gross rental yield for BANDAR PUTRA and compare before you put down a deposit.
Get PlusRM59 a month, cancel any time
Bandar Putra Kulai, 81000 Kulai, Johor, Malaysia
MapsBandar Putra in Kulai, Johor recorded 1 subsale transactions between 2021 and 2026, sized between 6,425 and 6,474 sqft, with a median price of RM805K and a median price per square foot (PSF) of RM125.
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.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM125, with most transactions between RM125 and RM125. The usual range is RM69.35 to RM180.35, showing that most units are priced quite close to each other. With an IQR of RM111.00 and MAD of RM0, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.