Taman Sri Ceraya
Taman Seri Ceraya, Butterworth, Pulau Pinang, Malaysia
Taman Seri Ceraya, Butterworth, Pulau Pinang, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Meranti 11
|
RM450,000
|
RM180
|
2,497 sqft
|
|
Posts about Taman Sri Ceraya
No posts about Taman Sri Ceraya yet. Be the first to share what’s happening here.
Nearby areas in 9
Taman Selayang Utama
Taman Tun Dr Awang
Taman Perkasa
Taman Desa Oren
Taman Sri Ceraya
Taman Sunshine
Pangsapuri Aked
Taman Sungai Puyu
Taman Mas
Taman Selayang Permai
Taman Udara
Taman Selayang Indah
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 9
Market Snapshot
ResidentialRM140,000
RM213 psfMedian transaction price
Taman Seri Ceraya, Butterworth, Pulau Pinang, Malaysia
MapsTaman Sri Ceraya in Seberang Perai Utara, Penang recorded 1 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM450K and a median price per square foot (PSF) of RM180.
This area contains both residential and commercial properties. View 8 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Within the Double Storey Shop category, low-cost flat dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM180, with most transactions between RM180 and RM180. The usual range is RM100.20 to RM260.20, showing that most units are priced quite close to each other. With an IQR of RM160.00 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
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.