2018-CDCs-Social-Vulnerability-Index-US-Counties
OpenML dataset with id 43656
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102481/2018-CDCs-Social-Vulnerability-Index-US-Counties.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 124 (numeric: 120, symbolic: 0 and in total binary: 0 )
Number of instances: 3,220
Number of instances with missing values: 0
Number of missing values: 0
Context Full Data Dictionary and Documentation Social vulnerability refers to the resilience of communities when confronted by external stresses on human health, stresses such as natural or human-caused disasters, or disease outbreaks. Reducing social vulnerability can decrease both human suffering and economic loss. CDC's Social Vulnerability Index uses 15 U.S. census variables at tract level to help local officials identify communities that may need support in preparing for hazards; or recovering from disaster. The Geospatial Research, Analysis, and Services Program (GRASP) created and maintains CDCs Social Vulnerability Index. Content This dataset has more than 30 features across 4 major focus areas.
Inspiration
This data has a large feature set that can be useful for a myriad of analytics. It may provide particular use to the current COVID-19 analysis.
This page was built for dataset: 2018-CDCs-Social-Vulnerability-Index-US-Counties
