Local Housing Analysis

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Erin Blasko | July 22, 2019

What is the current housing situation in South Bend? Who rents, and why? Who buys? Where is housing cheap? Where is it expensive? 

To answer these questions, the city of South Bend turned to the MetroLab Network, a city-university collaborative for civic innovation, and to its partner in the network: the University of Notre Dame.

Over the course of the spring semester, graduate students in the Department of Applied and Computational Mathematics and Statistics (ACMS) analyzed social, demographic, economic and housing data to find commonalities within the data at the census block level.

The students then grouped the blocks into clusters to illustrate similarities and differences in data, and thus in the overlying housing situation, among granular areas of the city and surrounding St. Joseph County.

The result?

A color-coded view of the city and county composed of five distinct clusters of similar census blocks, each spanning multiple, often noncontiguous areas of the city and county.

For example, one cluster, characterized by young, single renters, spans seven distinct areas of the city and county, according to the analysis, from the north side of Mishawaka and suburban Clay Township to the area east of Notre Dame.

Viewed alone, the cluster resembles an archipelago of similar census blocks.

The work was part of a newly established capstone course for students enrolled in the University’s online master’s degree program in ACMS-Data Science, a collaboration with the departments of computer science and engineering and psychology and the Mendoza College of Business as well as AT&T.

Read more here. 

 by Daily Domer Staff

Posted In: Features