Flood Claims Analysis

This project explores FEMA’s redacted flood insurance claims data from 2015 to 2025. The analysis focuses on trends in claim frequency, total losses, repetitive flood events, and geographic distribution. The goal is to understand where flood risks are concentrated and how damages vary across states and counties. Visualizations and summary statistics are exported to Tableau for interactive analysis.

Dataset

Source: FEMA Redacted Flood Claims

Size: Approximately 2.5 million records across 10 years

Key Variables: Claim year, building and contents loss, total paid, county, state, elevation certificate status, repetitive loss classification

Tools and Techniques

Python (Pandas, NumPy, Seaborn, Matplotlib)
Data cleaning and wrangling
Feature engineering and missing data handling
Geographic grouping and aggregation
Tableau for dashboard development
Version control with GitHub

Status

This project is still in progress. Tableau dashboards are under development, and deeper analysis of repetitive loss properties and inflation-adjusted trends is currently underway.