Where Schools Are Changing: Regional and Neighborhood Dynamics from 2010 to 2016SAVI Talks - November 2018
Schools experiencing similar change tend to be grouped geographically, with rapidly changing schools in more urban areas, and those holding steady in racial and income change located in more suburban and rural areas.
Explore Changing Schools
Families often choose where to live based on neighborhood characteristics, especially the quality and reputation of nearby schools. But we live in a highly mobile society, in a rapidly changing region, and many of Central Indiana’s neighborhoods have seen significant change in their residents and their schools.
We used state-reported data from the 2009-2010 and 2015-2016 academic years to interpret these trends in the Indianapolis region. We performed analyses from three perspectives, 1) finding demographic changes at the school level that are indicative of neighborhood changes, 2) viewing regional trends that cut across district lines, and 3) analyzing the spatial characteristics of school change.
Key findings from this report include:
- Regionally, schools are becoming more racially diverse, have a growing share of low-income students, and have increasing graduation rates.
- Low-income student population is falling in central Indianapolis and growing in Marion County’s townships, pointing to a growing number of low-income families living in first-ring suburbs.
- Schools experiencing similar change tend to be grouped geographically, with rapidly changing schools in more urban areas, and those holding steady in racial and income change located in more suburban and rural areas.
Articles and Story Maps
Explore interactive content built on our neighborhood change research.
An increase in unemployment claims could drive the eviction rate from 7 percent in 2016 to 20 percent in 2020, and informal evictions may be twice that.
Police used force over 1,600 times in 2019. Officers use force on black residents at a rate 2.6 times higher than white residents.
By comparing New York's COVID-19 test results with demographic and socioeconomic factors by ZIP code, we found that low education levels, crowded housing, and a lack of health insurance are some of the strongest predictors of high COVID-19 positivity rates.
COVID-19 positivity rate is 1.8 times higher for blacks than for whites. We explore how systemic inequities put many black individuals at higher risk for getting the virus, having a serious case, and suffering from the economic impacts compared to white residents.
In Indiana, black individuals are 2.4 times more likely to test positive than whites. We look at three different ways to visualize COVID-19 disparities like this.
This past November, we released the report Getting Groceries: Food Access Across Groups, Neighborhoods, and Time. Expanding on this report, we created an interactive map to display food access information for each block group in Marion County. Click on a block group to view
Two miles east of downtown, Michigan Street is largely vacant. But in the early 20th century was a bustling corridor for the Willard Park and St. Clair neighborhoods. Discover the history and demographics of these blocks.
It's hard to know exactly how many vacant units are in Indianapolis, but it's clear that many neighborhoods struggle with hypervacancy.
Mortgage values are increasing across the county, indicating an increase in housing prices. We explore the fastest changing areas, as well as places with very little little mortgage activity.
The Indy region's poverty rate increased over the past 50 years, mostly between 2000 and 2010. We looked at peer cities from Cincinnati to Austin to see if they experienced similar trends.
Christian Park was subdivided in the 1920s, but mostly built after World War II. Once an all-white neighborhood with high home ownership, the area has become part of a Latino community on the southeast side, and home ownership has fallen.
Using the age of housing stock in each neighborhood, we have created "development bands," which group areas by the time period in which they were primarily built.
Senior Research Analyst,
The Polis Center
The Polis Center
Unai Miquel Andres,
GIS and Data Analyst,
The Polis Center