Relau Indah Condo
Persiaran Bukit Jambul Satu, Bukit Jambul, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Persiaran Bukit Jambul Satu, Bukit Jambul, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Posts about Relau Indah Condo
No posts about Relau Indah Condo yet. Be the first to share what’s happening here.
Nearby areas in 13
Bandar Baru Air Itam
Green Garden - Mk. 13
Taman Terubong Indah
Taman Terubong Jaya
Desa Permai Indah
Eco Terraces
N-Park (Taman Utara)
Tropicana Bay Residences
Taman Desa Relau Ii
Taman Alor Vista
Iconic Skies
Desa Permata
Relau Indah Condo
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 13
Promote your property to visitors of this page
Market Snapshot
ResidentialRM303,000
RM380 psfMedian transaction price
Persiaran Bukit Jambul Satu, Bukit Jambul, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsRelau Indah Condo in Timur Laut, Penang recorded 2 subsale transactions in 2023, with a median price of RM303K and a median price per square foot (PSF) of RM380.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM303K, with most transactions falling within a stable range of RM265K to RM341K, and a typical market range of RM274K to RM332K.
Most transactions involved flats, with minimal variety in property types.
The median PSF stands at RM380, with core pricing between RM333 and RM428. Market pricing typically extends from RM343.40 to RM417.40, reflecting moderate variation in unit pricing. With an IQR of RM74.00 and MAD of RM48, 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.