Beyond the Buildings How to (Accurately) Use Data Science to Forecast the Riskiest US Areas to Live Amid Climate Change
Natural catastrophes have long been of concern to the housing and property markets. However, as these events increase in severity and frequency, climate change data science is projecting that not all areas of the U.S. will be equally exposed to these risks in the future.
Despite the popularity of some migration destinations with Americans, data analysis indicates that, depending on how dramatically current climate patterns change, many of these locations may not be ideal choices for property investment in the future.
In this episode, host Maiclaire Bolton Smith sits down with CoreLogic Chief Scientist Howard Botts to discuss the riskiest places to live in the U.S. for natural disasters.
In This Episode:
- 3:08 – The climate has always been changing, so what is going on now that makes it so imperative to analyze and forecast natural hazard risk?
- 6:16 – The IPCC’s new report. What is it and how does it change the game for predicting the future?
- 7:34 – So where are the riskiest places to live in the U.S. as climate change influences natural disasters?
- 10:28 – Our Facts Guru Erika Stanley goes over the numbers in the housing market.
- 11:49 – Is California really going to break off and float away?
Find full episodes with all our guests in our podcast archive here: https://clgx.co/3zqhBZt
Learn More:
AR6 Synthesis Report: Climate Change 2023 — IPCC
Seven of 10 Riskiest US Climate Locations Are Appreciating Faster than National Rate