The U.S. Social Vulnerability Index Grids data set contains gridded layers for the overall Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) using four sub-category themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) based on census tract level inputs from 15 variables for the years 2000, 2010, 2014, 2016, and 2018. SVI values range between 0 and 1 based on their percentile position among all census tracts in the U.S., with 0 representing lowest vulnerability census tracts and 1 representing highest vulnerability census tracts. ESDIS has gridded these vector inputs to create 1 km spatial resolution raster surfaces allowing users to obtain vulnerability metrics for any user-defined area within the U.S. Utilizing inputs from CIESIN's Gridded Population of the World, Version 4, Revision 11 (GPWv4.11), a mask is applied for water, and optionally, for no population. The data are provided in two different projection formats, NAD83 as a U.S. specific standard, and WGS84 as a global standard. The goal of the SVI is to help identify vulnerable commUnities by ranking them on these inputs across the U.S.