The national risk index: establishing a nationwide baseline for natural hazard risk in the US

• Published in: Natural hazards (Dordrecht) Vol. 114; no. 2; pp. 2331 - 2355
• Main Authors: Zuzak, Casey, Mowrer, Matthew, Goodenough, Emily, Burns, Jordan, Ranalli, Nicholas, Rozelle, Jesse
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.11.2022; Springer Nature B.V
• Subjects: Applications programs; Civil Engineering; Datasets; Earth and Environmental Science; Earth Sciences; Emergency management; Emergency preparedness; Environmental Management; Geography; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Hazards; Hydrogeology; Measurement; Natural Hazards; Original Paper; Resilience; Risk; Risk analysis; Risk factors; Social resilience; Statistical analysis; Vulnerability; United States > US; Multi-hazard; Natural hazards; Risk methodology; Expected annual loss; National risk index
• ISSN: 0921-030X; 1573-0840
• DOI: 10.1007/s11069-022-05474-w

The National Risk Index developed by the Federal Emergency Management Agency provides a relative measurement of community-level natural hazard risk across 50 US states and Washington, DC. The Index leverages authoritative nationwide datasets and multiplies values for exposure, annualized frequency, and historic loss ratio to derive expected annual loss estimates for 18 hazard types and combines this metric with Social Vulnerability and Community Resilience scores to generate Risk Index scores for every Census tract and county. Scores provide a holistic and comparable measure of risk across the US. Risk scores and underlying data are summarized in a custom web application. Geographical and statistical processing techniques were used to reconcile incompatibilities between the spatial and temporal collection of input datasets. The index was developed using a multidisciplinary and collaborative approach and input from subject matter experts across disciplines and target users. The National Risk Index builds upon previous efforts to develop a multi-hazard risk measurement for a large geography by expanding the number of hazard types considered, applying extensive geoprocessing techniques to combine diverse datasets, and combining traditional risk factors with the community risk factors of social vulnerability and community resilience for an enhanced nationwide picture of risk.