Roni Kobrosly Ph.D.'s Website

Visualizing socioeconomic disadvantage across US counties

written by Roni Kobrosly on 2014-12-17 | tags: human data machine learning


When we create maps to view the spatial variation of socioeconomic status, we are typically only viewing the variation of one factor at a time (e.g. just income or just unemployment rate). I thought it would be useful to create and visualize a summary score of overall "socioeconomic disadvantage" from many socioeconomic indicators. Using publicly available county-level US Census data from 2005 I created the following map. I conducted a factor analysis to combine the following indicators into one disadvantage measurement:

  • Net 5-year population change
  • % residents with less than a bachelor's degree
  • % households with below $75,000 annual income
  • % residents living at or below the poverty line
  • Infant deaths per 1,000 live births
  • Medicare recipients per 100,000 residents
  • % residents that own their dwelling
  • Unemployment rate

The three most disadvantaged counties were:

1) McDowell County, West Virginia 2) Owsley County, Kentucky 3) Buffalo County, South Dakota

The three least disadvantaged counties were:

1) Douglas County, Colorado 2) Fairfax County, Virginia 3) Loudoun County, Virigina

You can find the code here.