Which Areas of the US Are Most Vulnerable to Extreme Heat?


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Aug 21 2024 27 mins   2

Extreme heat doesn’t just challenge our physical endurance; it has a ripple effect on nearly every aspect of our lives.

From contributing to the intensification of natural disasters like hurricanes and wildfires to affecting property values, insurance risks, and even migration patterns, rising temperatures are worth paying attention to.

As natural disasters continue to accelerate in pace and intensity, it’s becoming clear that both homeowners and businesses must adapt to a new normal—one where extreme heat and its related perils are key considerations in every decision.

In this conversation, host Maiclaire Bolton Smith talks to CoreLogic's Chief Scientist, Dr. Howard Botts to discuss how extreme heat is reshaping the property landscape. The conversation touches on the evolving risks that both homeowners and insurers must navigate as well as how extreme heat is affecting business considerations.

As the conversation explores these challenges, the pair also looks at how communities and businesses are beginning to adapt, using new technologies and strategies to build resilience against a hotter future.

In This Episode:

2:08 – What is extreme heat, scientifically speaking?

5:10 – What are the impacts of extreme heat from a property perspective?

7:12 – How many U.S. properties are exposed to extreme heat and what is the value of those exposed properties?

10:03 – Erika Stanley does the numbers in the housing market in The Sip.

11:27 – How will additional days of extreme heat make natural disaster events worse?

15:53 – What are the knock-on effects of accelerating natural disasters on climate change?

19:22 – Do businesses have extreme heat on the radar as a peril that affects bottom lines?

21:03 – Erika Stanley reviews natural catastrophes and extreme weather events across the world.

22:51 – How will extreme heat affect land-use planning and climate resiliency?

Up Next: The Most Climate-Resilient Places to Live in the US According to Data Science

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