MiEJScreen Sum of Indicators Above 75 Percentile

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 indicators 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 [e-mail]总分由两个子评分（环境状况与人口特征）构成，这两个子评分又进一步细分为四大类别。其中代表环境状况的两类为暴露情况（Exposures）与环境影响（Environmental Effects），代表人口特征的两类为敏感人群（Sensitive Populations）与社会经济因素（Socioeconomic Factors）。每个类别均包含一组指标，需先以原始值对每个普查区域（census tract）进行评分，再基于排序结果赋予百分位数。随后对四大类别（暴露情况、环境影响、敏感人群、社会经济因素）各自的百分位数评分取平均值。 EGLE方法流程如下：对26项MiEJScreen指标中数值大于或等于75百分位数的条目进行筛选；为每项筛选后的指标导出普查区域图层；将四大MiEJScreen类别（暴露情况、环境影响、敏感人群、社会经济因素）各自包含的所有指标进行合并；将四大MiEJScreen类别合并为单一图层；运行ArcGIS Pro的摘要统计（Summary Statistics）地理处理工具，以GEOID字段作为分组字段，统计类型设为计数（Count）。将所得的“75百分位数以上普查区域指标计数”输出表，通过GEOID字段与密歇根州2010年普查区域多边形图层进行关联。该图层基于COUNT_GEOID字段进行符号化。 请注意，本数据集为静态数据，不再进行维护。它被应用于MiEJScreen——一款旨在对各类环境、健康与社会经济指标进行百分位数评分，以衡量社区内相对环境风险因素的筛查工具。百分位数评分仅用于对比可能加剧社区内部及社区间公平性差异的各类因素，并非绝对数值。本地图未对社区整体负担进行建模，亦未反映潜在环境风险因素实际影响的个体数量。同时，该地图也未对个体健康结局的正向或负向可能性进行建模。不得将其用于诊断社区健康问题、给社区贴上标签，或为特定个体归因风险因素与暴露情况。若要判定与环境风险因素相关的健康结局，需开展额外分析。 本地图旨在作为动态信息工具，MiEJScreen并非决策工具。尽管该工具的部分数据可依法用于为决策提供参考（例如社区参与相关工作），但仅凭该工具的数据，无法判定某一地点是否存在环境正义相关问题，亦无法提供风险评估。关于本工具的注意事项与局限性，可访问Michigan.gov/EGLE/Maps-Data/MiEJScreen获取更多信息。若对数据或图层有疑问，请联系[e-mail]。