In this session, we will explore key trends and insights from FEMA's National Flood Insurance Program (NFIP) data for the United States. Using publicly available data from OpenFEMA, we will analyze patterns in flood risk and claims frequency, with a particular emphasis on the impacts of major flooding events such as Hurricane Katrina (2005) and Hurricane Sandy (2012). Through a deep dive into historical claims data, we will uncover trends over time and examine how these significant storms, along with rising sea levels, are reshaping flood risks. 

The session will leverage open-source data analysis methods, including Python, Jupyter Notebooks, and OpenFEMA's API, with all the code and resources shared via GitHub. Attendees will gain practical insights into how data-driven approaches can inform flood risk management and guide policy decisions.