HEDA: Health Equity Data Analysis
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HEDA population step
DEMOGRAPHIC AND SOCIO-DEMOGRAPHIC DATA FOR MINNESOTA COUNTIES
A health equity analysis often requires that you describe your community's demographics and identify populations that may be vulnerable to health inequities (population step). The websites below include demographic and socio-demographic data by county.
MN Public Health Data Access Portal: Launched in 2011, the MN Public Health Data Access Portal provides public access to interactive charts, maps, and queries on over-18 health and environment topics, including poverty and income, health insurance (coverage), asthma, cancer, lead poisoning, and chronic obstructive pulmonary disease (COPD). Data on this portal may be used to evaluate statewide trends for health by race/ethnicity, age, gender, income and other factors. For example the Tracking Portal includes estimates overweight and obesity by education levels for Minnesota.
Minnesota county health tables: The county health tables include demographic (e.g., population by race and age) and socio demographic (e.g., poverty, graduation rate, and owner-occupied housing) data by state, county, and community health board.
Minnesota state, county, and community health board vital statistics trend reports: The trend report presents demographic and socio demographic data in 5-year trends. Data include unemployment rates, per capita income and high school drop out rate. These data are available for the state, county, and community health boards.
Explore Census data, US Census: The US Census provides access to data about the United States, Puerto Rico and the Island Areas. Data are available by various geographic regions including state, county, county subdivision and census tract.
Income and work, Minnesota Budget Project: A portfolio of Minnesota county maps on poverty, income, and economic opportunity ncludes housing costs, employment, poverty, and income inequality.
Quick maps of heart disease, stroke, and socio-economic conditions, CDC: This site includes nationwide maps by county of levels of poverty, unemployment, high school education, and health insurance.
Health inequities in the Twin Cities, Amherst H. Wilder Foundation: This report by the Blue Cross and Blue Shield of Minnesota Foundation and Wilder Research finds that health and life expectancy are strongly connected to median area income, neighborhood conditions, education, and race.