Eviction filings are on the rise compared to last year, but still lower than before the pandemic. Most evictions are from large owners of big apartment complexes.
Indiana Senate Bill 230 would have required landlords to make necessary repairs to their properties. We examine the renters impacted by the bill's failure.
Our analysis of one million loan applications since 2007 shows that, even when income and debt are the same, having a Black applicant on the loan increases the odds of being denied by 2-3X, and applying for a loan in a historically redlined neighborhood increases the odds of denial by 50 percent.
New data shows the number of subsidized rental homes in Marion County is stagnant, while the need for units affordable to extremely low-income households is large.
80 years after the federal government encouraged lenders to consider "neighborhood characteristics" like race in their lending decisions, redlining and segregation have a measurable impact on economic opportunity, health outcomes, the environment, and violence.
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We analyzed more than 283,000 bookings into Marion County’s jails between 2013 and 2021. We used this data to discover how many people are in jail, the characteristics of those in jail, and how long people remain in jail.
Black Hoosiers are twice as likely to be jailed and 4.5 times as likely to be imprisoned as their white peers. However, these disparities exist long before an individual is imprisoned. From the place and situation into which a child is born, to the discipline and juvenile justice policies in their school and community, a person’s childhood experience influences their likelihood of being involved in the criminal justice system.
Read the Report In our updated analysis of 104 ZIP Codes in the metro area (2014-2018), we identified the ...
For children of low-income families, your race, your parents' income, and the neighborhood you grow up in can lead tens of thousands of dollars in lost income each year.
We developed an index to quantify the pandemic's health impacts and economic impacts on neighborhoods, as underlying vulnerabilities in those areas.
In “One City, Worlds Apart,” IBJ aims to illustrate the problem of inequality by focusing on how it shapes one particular city. SAVI is a vital resource for showing the depth of the divide between the wealthiest and poorest neighborhoods in Indianapolis.
To share information about community conversations between law enforcement and local communities, IUPUI and the City needed to know local organizations who could help spread the word. They used SAVI’s data tools to identify the community assets, like churches, community centers, and shelters. They visited each one and shared information about upcoming community conversations.
After several groceries closed in their community, this community organization needed to understand where food access was lacking and who it affected. SAVI trained Kheprw Institute staff, using SAVI data and GIS software, to find areas lacking food access and the demographics of those communities.