CDC 2020 Social Vulnerability Index by US Census Track in cloud-optimized formats. Original data from https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html
The CDC Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every census tract and county. The SVI ranks each tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes.
Base URL: https://s3-west.nrp-nautilus.io/public-social-vulnerability/
Data available for years 2000, 2010, 2020, and 2022 at County and Tract levels.
Path Pattern: {Year}/SVI{Year}_US_{Level}.parquet
Examples:
2020/SVI2020_US_county.parquet2020/SVI2020_US_tract.parquet2022/SVI2022_US_county.parquetThese percentile ranking columns range from 0 (lowest vulnerability) to 1 (highest vulnerability).
Columns use prefixes to denote the type of data:
E_POV (Count of persons below poverty)M_POVEP_POV (% of persons below poverty)MP_POVRPL_THEME1SPL_THEME1 (Sum of flags for theme 1)F_POVMissing values are often coded as -999 in the original data or null in Parquet.
Source: Centers for Disease Control and Prevention (CDC) / Agency for Toxic Substances and Disease Registry (ATSDR).
Citation: Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. Social Vulnerability Index [Insert Year] Database US.
Detailed Documentation: