Code, dataset, and analysis samples that utilize the OpenFEMA API.

• Updated Mar 6, 2025
• Jupyter Notebook

Analyzing FEMA's National Flood Insurance Program (NFIP) Data With DuckDB.

• Updated May 27, 2025
• Jupyter Notebook

R Interface to the FEMA National Flood Hazards Layer

• Updated Dec 17, 2024
• R

FEMA map "effective date" data used in Oct. 2017 story

• Updated Oct 10, 2017

Exploring FEMA's Preliminary Flood Insurance Rate Map (PFIRM) for NYC using Python.

• Updated Jul 24, 2024
• Jupyter Notebook

Exploring National Flood Insurance Program (NFIP) Data for New York City.

• Updated Jan 8, 2024
• Jupyter Notebook

FEMA Daily Operations Briefing: Email → RSS (→ CSV)

• Updated Dec 30, 2025
• Python

Downloading National Flood Insurance Program (NFIP) Datasets with OpenFEMA API

• Updated Sep 6, 2025
• Jupyter Notebook

🌐 Interactive map of natural disasters across the U.S.

• Updated Nov 19, 2025
• TypeScript

An IPAWS feed emulator that converts alerts from CAR into a CAP feed for digital EAS reception.

• Updated Nov 1, 2025
• Python

FEMA Disaster Declarations and Public Assistance Data Analysis.

• Updated Oct 20, 2024
• Jupyter Notebook

Machine learning based natural disaster prediction for US counties

• Updated Mar 27, 2024
• HTML

This repository publishes the county-zipcode crosswalk data used for determining the providers eligible Extreme And Uncontrollable Circumstances Hardship.

• Updated Dec 18, 2025
• Python

Virginia - National Flood Hazard Layer (NFHL) Inventory Table GIS Open Data

• Updated May 13, 2019

GeoJson files of FEMA maps or layers that can be used in your own analysis.

• Updated Aug 20, 2021

The scope of this task is to build a working pilot of a portal that collects and displays Community Development Block Grant – Disaster Recovery (CDBG-DR) data.

• Updated Feb 16, 2017

Analyzing FEMA's National Flood Insurance Program (NFIP) Claims Data Using Python

• Updated Jan 28, 2020
• Jupyter Notebook

This is a dimensional data warehouse that seeks to provide insights into the raw data that FEMA provides publicly for its Individual and Housing Program. I used Jupyter Notebook, Python (Pandas, NumPy, Pyodbc), and SQL to perform ETL on the dataset, loading the warehouse based on the schema I designed. I created visualizations using Tableau from...

• Updated Jun 2, 2021
• Jupyter Notebook

MERN Stack Web App for FEMA Firestations Listings

• Updated Jan 6, 2023
• JavaScript

Exploring FEMA's National Flood Insurance Program (NFIP) Data

• Updated Jun 10, 2025
• Python