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.
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.