20191016
16511800
1.0
TRUE
Map
<p><strong>Deprecated</strong> - updated layer: <a target='_blank' href='https://iu.maps.arcgis.com/home/item.html?id=4bfaa1c096164383b86370bbae24d589' rel='nofollow ugc noopener noreferrer'>https://iu.maps.arcgis.com/home/item.html?id=4bfaa1c096164383b86370bbae24d589</a></p><ul><li><span style='font-size:medium;'><font style='font-family:inherit;'>This feature layer is a part of Indiana University Environmental Resilience Institute's Hoosier Resilience Index.</font></span></li><li><span style='font-size:medium;'><font style='font-family:inherit;'>This feature layer visualizes the ranked percentile of overall social vulnerability (e.g. inability to prevent human suffering and financial loss in the event of a disaster) per Indiana census tract using the American Community Survey 2017 5-year estimates.</font></span><ul><li><span style='font-size:medium;'><font style='font-family:inherit;'>Rankings are based on percentiles compared to other Indiana census tracts, with scores ranging from 0 to 1. Higher values indicate greater vulnerability.</font></span><br /> </li></ul></li><li><span style='font-size:medium;'><font style='font-family:inherit;'>The attribute field visualized is "RPL_THEMES".</font></span></li><li><span style='font-size:medium;'><font style='font-family:inherit;'>The data used to calculate the ranked percentile were gathered from the American Community Survey and processed by the Environmental Resilience Institute using the SVI methodology created by the Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.</font></span><ul><li><span style='font-size:medium;'><font style='font-family:inherit;'> The SVI methodology aggregates 15 census variables into four themes. </font></span></li><li><span style='font-size:medium;'><font style='font-family:inherit;'>The four themes are further aggregated into one overall vulnerability score.</font></span></li></ul></li></ul><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; text-align:center;'><img style='height:auto; max-width:100%;' src='https://iu.maps.arcgis.com/sharing/rest/content/items/03a75fd1b8744a35a4423f7b21118306/data' /><br /> </div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; text-align:center;'><span style='font-size:small;'><font style='font-family:inherit;'>Image Reference: Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program</font></span></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; text-align:center;'><br /> </div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; text-align:center;'><span style='font-size:medium;'>Further detail on CDC's SVI can be found at: </span></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; text-align:center;'><span style='font-size:medium;'>https://svi.cdc.gov/Documents/Data/2016_SVI_Data/SVI2016Documentation.pdf</span></div>
ERIHRIPfECIUSocial Vulnerability
Ranked percentile of social vulnerability (e.g. inability to prevent human suffering and financial loss in the event of a disaster) per Indiana census tract for years 2013 - 2017.
Hoosier Resilience Index, Environmental Resilience Institute, Indiana University
[Forthcoming]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