[gis_info] Mapping the US Housing Affordability Gap: Simple Techniques with ArcGIS Pro, R, and AI

[Eric Pimpler]

This article explores the significant disparities in housing affordability
between the coastal regions of the United States and the Midwest.  Here we
present an R script that merges 2022 county-level median income data with
the Zillow Home Value Index (ZHVI), a measure of home values, to calculate
a housing affordability ratio for each county.  The script also produces an
output shapefile that can then be symbolized as a graduated color map in
ArcGIS Pro.

The coastal areas, known for their high real estate prices, contrast
sharply with the Midwest, often cited for its more accessible housing
market. We also found pockets of seriously to severely unaffordable housing
in the Intermountain West as well as extensive areas of Texas.  This
examination aims to provide insights into the varied landscape of
homeownership costs across the country, highlighting the affordability
divide that influences regional demographics and housing decisions.

Read the entire article.
<https://geospatialtraining.com/mapping-the-us-housing-affordability-gap-simple-techniques-with-arcgis-pro-r-and-ai/>


-- 
Eric Pimpler
President/Owner
Geospatial Training Services
215 W Bandera #114-104
Boerne, TX 78006
http://geospatialtraining.com
Twitter - @gistraining
Instagram - @eric_pimpler
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eric at geospatialtraining.com
210-260-4992
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