Saujana Heights
Saujana Height, 11950 Bayan Lepas, Pulau Pinang, Malaysia
Saujana Height, 11950 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
Selling in Saujana Heights? Homes here sold for a median of RM250,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Saujana Heights
No posts about Saujana Heights yet. Be the first to share what’s happening here.
Nearby areas in 11
Emerald Residence
One Foresta
Forestville
Saujana Heights
Taman Teluk Kumbar
Taman Seri Bayu Fasa 2 (Bayu Tiara)
Taman Emas - R/Pangsa
Sri Bayu
Platinium Iii
Valencia Residence
Rumah Pangsa Kos Rendah(Kejora)
Bayu Nyaman
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 11
Market Snapshot
ResidentialRM250,000
RM505 psfMedian transaction price
Saujana Height, 11950 Bayan Lepas, Pulau Pinang, Malaysia
MapsSaujana Heights in Barat Daya, Penang recorded 1 subsale transactions in 2026, with a median price of RM250K and a median price per square foot (PSF) of RM505.
This area contains both residential and commercial properties. View 58 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved flats, with moderate diversity in property types available.
For price per square foot, the median is RM505, with most transactions between RM505 and RM505. The usual range is RM468.00 to RM542.00, showing that most units are priced quite close to each other. With an IQR of RM74.00 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.