The purpose of this research is to articulate the relationships
that exist between housing affordability by metropolitan areas and
the following variables: housing costs, income, educational
attainment, population density, population growth rate, and
employment composition by economic sector (professional, sales and
office, and service). This research contributes to the existing
affordability literature by considering all of these variables
simultaneously through a regression equation based on US Census
data. The findings indicate that housing affordability is
geographically differentiated with the West Coast metropolitan
areas being the least affordable and the South Central metropolitan
areas being most affordable. Some of the predictors of housing
affordability appeared to be educational attainment, employment
mix, and population density based on correlation and regression
results.
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