<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:creator>Michigan Dept. of Environment, Great Lakes, and Energy</dc:creator><dc:description>The MIEJScreen overall score is made up of two sub scores (Environmental Conditions and Population Characteristics) which are further divided into four categories. There are two categories representing Environmental Conditions: Exposures and Environmental Effects, and two categories representing Population Characteristics: Sensitive Populations and Socioeconomic Factors. Each of the categories has a set of indicators that are scored for each census tract by its raw value, then assigned percentiles based on rank-order. Those percentile scores are averaged for each of the four categories (Exposures, Environmental Effects, Sensitive Populations, and Socioeconomic Factors). EGLE Methodology: Filtered each of the 26 MiEJScreen indicators that were greater than or equal to the 75th percentile. Exported out a Census tract layer for each of these indicators Merged all the indicators for a for each of the four MiEJScreen categories (Exposures, Environmental Effects, Sensitive Populations, and Socioeconomic Factors). Merged all four MiEJScreen categories to a single layer Ran Summary Statistics ArcGIS Pro geoprocessing tool using the GEOID field and the Statistic Type of Count. There resulting output table of count of Census tracts i ndicators above the 75th percentile was joined to the Michigan 2010 Census tracts polygon layer using the GEOID field. This layer is symbolized on the COUNT_GEOID field. Note that this data is static and is not being maintained. It is used in the MiEJScreen , a screening tool that provides percentile scoring of various environmental, health, and socioeconomic indicators to measure relative environmental risk factors in communities. The percentile scores allow comparison on various factors that may contribute to disparities within a community and between communities but are not absolute values. This map does not model overall burden on communities, nor does it reflect the actual number of individuals affected by potential environmental risk factors. The map also does not model the positive or negative likelihood of an individual health outcome. It should not be used to diagnose a community health issue, label a community, or attribute risk factors and exposures for specific individuals. Additional analysis would be necessary to make decisions on health outcomes that may be associated with the environmental risk factors. This map is intended to be a dynamic, informative tool. MiEJScreen is not a decision-making tool. While certain data from the tool may be used as allowed by law to inform decisions, such as community engagement, data from the tool, by itself, does not determine the existence or absence of environmental justice concerns in a given location or provide risk assessments. More information on caveats and limitations can be found at Michigan.gov/EGLE/Maps-Data/MiEJScreen . If you have questions regarding the data or layers contact EGLE-EnvironmentalJustice@michigan.gov .</dc:description><dc:format>ArcGIS FeatureLayer</dc:format><dc:identifier>https://hub.arcgis.com/datasets/426a5c3d21fc4378b19bf2c6f6f28ac6_0</dc:identifier><dc:language>eng</dc:language><dc:publisher>State of Michigan Open Data Portal</dc:publisher><dc:rights>Public</dc:rights><dc:title>MiEJScreen Sum of Indicators Above 75 Percentile [Michigan]</dc:title><dc:type>Web services</dc:type><dc:coverage>Michigan</dc:coverage><dc:date>Last Modified: 2025-09-17</dc:date></oai_dc:dc>