Hurricane Ian and other extreme weather events such as the winter storms in Europe, flooding in Australia and South Africa as well as hailstorms in France and in the US resulted in an estimated USD $115 billion of natural catastrophe insured losses this year to date, according to Swiss Re Institute.
- Natural catastrophes caused an estimated USD 115 billion of insured losses in 2022 to date, coming in well above the 10-year average of USD 81 billion
- Hurricane Ian was the single largest loss-causing event of the year to date, with an estimated insured loss of USD 50–65 billion
- Secondary perils such as floods and hail storms caused over USD 50 billion insured losses, yet again affirming their significant contribution to the global total
2022 is the second consecutive year in which the estimated insured losses total more than USD 100 billion, continuing the trend of a 5–7% average annual increase over the past decade.
The re/insurance industry covered roughly 45% of the economic losses this year, indicating a large protection gap across the world.
Hurricane Ian is this year’s costliest natural catastrophe with estimated preliminary insured losses of USD 50–65 billion. The category 4 hurricane made landfall in western Florida in late September with extreme winds, torrential rain and storm surge. Swiss Re Institute estimates it to be the second-costliest insured loss ever on sigma records after Hurricane Katrina in 2005.
This highlights the threat potential of a single hurricane hitting a densely populated coastline, in an otherwise benign hurricane year. Furthermore, in February, a series of winter storms hit Europe and prompted estimated insured losses of USD over 3.7 billion, bringing this key peril back on the insurance industry’s agenda.
2022 has been another year of increased natural catastrophe loss activity, and demand for insurance is growing as the protection gap remains vast. To enable the insurance industry to keep up with increasing volatility and demand, it will be key to model evolving frequency and severity trends. Pricing needs to reflect the effective risk.Thierry Léger, Group Chief Underwriting Officer Swiss Re
This year also confirms the importance of secondary perils: In February and March, torrential rains led to widespread flooding in Australia that, at currently estimated USD 4 billion, is the country’s costliest-ever natural catastrophe.
Next to numerous small to medium-sized hail- and thunderstorms in the US, France experienced the most severe series of hailstorms ever observed, with insured market losses reaching an estimated EUR 5 billion according to Swiss Re Institute.
Extreme weather events have led to high insured losses in 2022, underpinning a risk on the rise and unfolding on every continent. Urban development, wealth accumulation in disaster-prone areas, inflation and climate change are key factors at play, turning extreme weather into ever rising natural catastrophe losses.Martin Bertogg, Head of Catastrophe Perils at Swiss Re
When Hurricane Andrew struck 30 years ago, a USD 20 billion loss event had never occurred before – now there have been seven such hurricanes in just the past six years.
Estimated total economic and insured losses in 2022 and 2021
These sigma catastrophe loss estimates refer to property damage and exclude claims related to COVID-19.
The insurance industry is managing natural catastrophe risk, building on state-of-the-art simulation-based modelling for many perils.
However, the 2022 loss experience, compounded by the previous five years, emphasizes a need to adopt a more forward-looking approach for all perils. Model and data availability need to be upscaled for secondary perils such as flood and hail particularly, as they are on the rise but still receive less industry attention.
Swiss Re continuously updates its proprietary models to embed new insights from science, while also tracking macro risk trends like urbanization, inflation and climate change.
Flooding from hurricane-induced rainfall is now explicitly modelled based on a forward-looking view of rainfall characteristics rather than long term historic rainfall averages.
Furthermore, improved predictive methods were introduced to enable Swiss Re and its clients to better quantify the present-day risks.
by Yana Keller