COVID-19 is amplifying health, racial, and economic inequality to create disparities in outcomes in the US. Both illness and death rates are higher in communities of color. Health data shows the impact of the pervasive effects of racism in the United States. Health data is showing that…
In response, communities and companies are analyzing risks and designing equitable solutions. However, that challenging work begins with data. The new COVID-19 Health, Racial, and Economic Equity data gallery helps you start understanding and addressing inequity in your community. The data is now available on the Esri COVID-19 GIS Hub. This gallery contains a collection of Esri maps, data, and apps that can help guide decisions around health, racial, and economic equity during COVID-19 and beyond. This means that it includes layers related to the social determinants of health. More specifically, these include: economic stability, neighborhood and physical environment, education, food, community and social context, and health care system. These layers can be used to analyze racial inequity during COVID-19 (for guidance, see ArcGIS Blog Analyze Racial Inequity During COVID-19).
The gallery currently includes geographic data on the following: race, ethnicity, age, gender, immigration, language, child well-being, senior well-being, disability status, health insurance, income, disposable income, home ownership, housing costs, air quality, homelessness, diversity, food access, savings vulnerability, education, internet access, family living arrangements, population, poverty, transportation, unemployment, social vulnerability, occupations, business & economic vulnerability, life expectancy, low birth weight, COVID-19 providers, social distancing, and more. These ready-to-use layers, maps, and apps are available in ArcGIS Living Atlas of the World and can be used across the entire ArcGIS platform.
This collection is constantly growing as new data layers, maps, and other items become available. You can use the filter on the left of the application (shown in the screenshot below) to find data on specific topics.
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