Initiated by Dr. Xin Wei, University of Michigan
Ongoing development by the community

USGS releases National Landslide Damages and Losses

November 19, 2025
Data Release

About the Database

The National Landslide Damages and Losses (NLDL) database was developed by extracting relevant U.S. landslide loss and damage information from a wide range of sources and compiling them within a consistent framework and database structure.

Sources of information on economic losses, fatalities, and key event characteristics include (but are not limited to) U.S. Geological Survey (USGS) Open-File reports, state and county hazard mitigation plans, state geological survey reports, risk assessments, and FEMA OpenFEMA data.

Database Overview

Database Size: 5,687 records from 131 sources

Coverage: Individual landslide events and groups of landslides across the United States

Data Includes: Event location, timing, landslide characteristics, damage and loss information (all dollar amounts adjusted for inflation)

Data Release Contents

The current version includes the following files:

  • NLDL_V1.csv — National Landslide Damages and Losses database table
  • NLDL_V1_References.txt — References file containing all source citations
  • NLDL_ReadMe.txt — README file with workflow and quality-control details
  • NLDL_DataDictionary.zip — Data dictionary ZIP file containing:
    • NLDL_Framework.csv — Table of framework attributes
    • NLDL_Glossary.pdf — Glossary of terms and definitions
  • NLDL_ODOT_Integration.txt — Documentation describing integration of Oregon DOT data
  • NLDL_FEMA_Integration.txt — Documentation describing integration of FEMA PDA and OpenFEMA data
  • NLDL_FEMA_Table1.pdf — Table of FEMA PDAs and their mapped USGS loss types
  • NLDL_Metadata.xml — Metadata file with complete technical documentation

Key Features

  • Comprehensive Coverage: Each record corresponds to either an individual landslide event or a group of landslides
  • Standardized Framework: All data compiled within a consistent database structure
  • Inflation-Adjusted: All dollar amounts have been adjusted for inflation to enable temporal comparisons
  • Multiple Data Sources: Integrates information from federal, state, and local sources
  • Quality Controlled: Includes detailed workflow and quality-control documentation