Taman Baiduri
Butterworth, Pulau Pinang, Malaysia
Butterworth, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Baiduri 5
|
RM500,000
|
RM312
|
1,604 sqft
|
|
Selling in Taman Baiduri? Homes here sold for a median of RM500,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Taman Baiduri
No posts about Taman Baiduri yet. Be the first to share what’s happening here.
Nearby areas in 14
Pangsapuri Regensi Oren
Taman Pandan
Taman Segar Jaya
Taman Mesra
Taman Tanjung Indah
Pangsapuri Sri Mekar
Taman Dedap
Pangsapuri Tanjung Permai
Pangsapuri Mesra Jaya
Taman Mesra Permai
Taman Pandan Indah
Taman Segemal
Taman Baiduri
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 14
Market Snapshot
ResidentialRM500,000
RM312 psfMedian transaction price
Taman Baiduri, Butterworth, Pulau Pinang, Malaysia
MapsTaman Baiduri in Seberang Perai Utara, Penang recorded 1 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM500K and a median price per square foot (PSF) of RM312.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Within the Double Storey Terraced category, flats dominated the market, though some variety exists in the market.
For price per square foot, the median is RM312, with most transactions between RM312 and RM312. The usual range is RM271.64 to RM351.89, showing that most units are priced quite close to each other. With an IQR of RM80.25 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.