{ "culture": "en-US", "name": "SVI_AdaptVA", "guid": "BA0578D9-D84C-4D02-B875-FBDD09B7F696", "catalogPath": "", "snippet": "This layer provides block group and census tract Social Vulnerability Index (SVI) estimates for Virginia. Coastal counties were estimated at Block Group level by VIMS SoVI. SVI for all other counties was estimated at Census Tract level by ATSDR. ", "description": "This layer provides block group and census tract Social Vulnerability Index (SVI) estimates for Virginia. SVI for coastal counties in Virginia was estimated at the Block Group level by the VIMS SoVI project (detailed below). SVI for all other counties in Virginia was estimated at the Census Tract level by the ATSDR project (detailed below). 

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VIMS SoVI<\/b>: Following other social vulnerability indexes, including the SoVI® developed by the Hazards & Vulnerability Research Institute at the University of South Carolina, this vulnerability index is based on a principal component analysis (PCA). PCA is a statistical technique that takes as its input a matrix of interrelated socioeconomic variables \u2013 in this case those considered to measure various dimensions of social vulnerability \u2013 and creates a new set of orthogonal principal components that extract the important variation the underlying input data while reducing the noise and redundancy in the data. After conducting the PCA, the researcher combines the newly created component variables into a composite index that provides a single value for each observation in the dataset, in this case a social vulnerability score. The utility of a PCA-based index is that it encapsulates a lot of information in an easily consumed form and individual observations can be ranked relative to each other. This update uses data from the 2015-2019 American Community Survey at the census block group level where available and at the census tract level where block group data is not available. It uses the following percent of population variables: income (per capita), Black or African American, Hispanic, Native American, over 65, unemployed, poverty status, no high school degree, group quarters (i.e. nursing homes and prisons), female labor force, female households, and social security. The vulnerability indices generated depend on the variables included in the PCA as well as the geographic area of the study and the component selection and weighting criteria. Thus this vulnerability index will not necessarily match the vulnerability indices created by other researchers.\nSee complete documentation here<\/a>. <\/div>

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ATSDR<\/b>: The CDC\\ATSDR Social Vulnerability Index (SVI) is a tool, created by the Geospatial Research, Analysis and Services Program (GRASP), to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. The tract-level SVI shows the relative vulnerability of the population of every U.S. Census tract. The county-level SVI shows the relative vulnerability of every U.S. county population. The SVI ranks tracts (or counties) on 16 social factors, described in detail in the documentation. The tract (or county) rankings for individual factors are further grouped into four related themes. Thus each enumeration unit receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking. See complete documentation here<\/a>. For additional questions, contact the SVI Lead at svi_coordinator@cdc.gov.<\/div>", "summary": "This layer provides block group and census tract Social Vulnerability Index (SVI) estimates for Virginia. Coastal counties were estimated at Block Group level by VIMS SoVI. SVI for all other counties was estimated at Census Tract level by ATSDR. ", "title": "Social Vulnerability Index", "tags": [ "SVI", "Social Vulnerability", "Floodplain", "CFPF", "RVRLF", "Virginia", "US Census Bureau", "Block Groups", "Coastal Virginia", "Social Vulnerability Index SOVI" ], "type": "Map Service", "typeKeywords": [ "ArcGIS", "ArcGIS Server", "Data", "Map Service", "Service" ], "thumbnail": "thumbnail/thumbnail.png", "url": "", "extent": [ [ -83.6753991616609, 36.5408752676055 ], [ -75.3099887033131, 39.465844234117 ] ], "minScale": 0, "maxScale": 1.7976931348623157E308, "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere", "accessInformation": "CDC\\ATSDR\\Office of Innovation and Analytics\\Geospatial Research, Analysis, and Services Program (GRASP), U.S. Census Bureau, 2015-2019 American Community Survey, William & Mary. ", "licenseInfo": "Use Constraints:The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.", "portalUrl": "" }