New Zealanders are paying too much for house and contents insurance, according to a new survey. Consumer NZ's price comparison survey shows climate and natural hazard risk is being factored in, and is more expensive than ever. Quotes for a large house differed by more than $3,000 across Auckland, Hamilton, Wellington, Christchurch, and Dunedin, and there's a more than $2,000 difference between the cheapest and most expensive policies on offer for a standard-sized house. If you live somewhere with a higher chance of earthquakes - such as Wellington or Christchurch - you'll be charged more for insurance. The cost of house and contents insurance has risen by 5.6% this year, over the past ten years it's gone up 150%. Kathryn is joined by Consumer NZ's Gemma Rasmussen and Katrina Shanks Chief Executive of Financial Advice New Zealand, which represents independent and professional financial advisors.
In the last two decades, New Zealand (NZ) has experienced significant earthquakes, including the 2010 M 7.2 Darfield, 2011 M 6.2 Christchurch, and 2016 M 7.8 Kaikōura events. Amongst these large events, tens of thousands of smaller earthquakes have occurred. While previous event and ground-motion databases have analyzed these events, many events below M 4 have gone undetected. The goal of this study is to expand on previous databases, particularly for small magnitude (M<4) and low-amplitude ground motions. This new database enables a greater understanding of regional variations within NZ and contributes to the validity of internationally developed ground-motion models. The database includes event locations and magnitude estimates with uncertainty considerations, and tectonic type assessed in a hierarchical manner. Ground motions are extracted from the GeoNet FDSN server and assessed for quality using a neural network classification approach. A deep neural network approach is also utilized for picking P and S phases for determination of event hypocentres. Relative hypocentres are further improved by double-difference relocation and will contribute toward developing shallow (< 50 km) seismic tomography models. Analysis of the resulting database is compared with previous studies for discussion of implications toward national hazard prediction models.
