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Posted by Allegra East on Aug 23, 2016

Indy Vitals Blog Series – Income, Unemployment, and Health Insurance in Indianapolis

By Tim Bailey, Data Analysis & Visualization Intern

You may be aware that the U.S. has a disproportionately large uninsured population when compared to countries with similar developed economies. While many of these countries have long had nationalized health care services, the U.S. has a deeply ingrained privatized free market system. How to best deal with this gap is certainly a political matter up for debate, but it may be helpful to take a step back and look at health insurance coverage data spatially. The goal of these visualizations is to show what the uninsured population looks like in Indianapolis and to evoke curiosity about what this means and what can be done to change it.

The top map shows the rate of residents without health insurance. Each year shows the average from the 5-year period before (e.g. 2012 would be 2006-2011). The scatterplot shows the relation between median household income, and the rate of residents without health insurance. Color on the scatterplot represents the rate of unemployment.

All of these measures are related. Areas with low incomes and high unemployment have higher rates of people without health insurance. Notice the neighborhood areas with the highest percentage of uninsured people was lower in the 2013 report compared to the 2012 report.

Interested in digging deeper? Visit indyvitals.org to explore trends in uninsured populations, median household incomes, and unemployment rates in Indianapolis neighborhood areas for different demographic groups.

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Posted by saviadmin on Apr 21, 2015

Introducing SAVI’s Advanced Search

By Michelle Jones, GIS analyst, The Polis Center at IUPUI

SAVI’s new advanced search feature makes it easier to find the data you are looking for. With this search option you can:

  • Find a community based on its name and then access a complete community profile with one click.
  • Search for communities based on the demographics or socio-economic status of the residents.
  • Search for communities near an address.
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