Here is an example of a bivariate choropleth map. With these types of maps, we have two variable to analyze. We see that we are trying to make a correlation between unemployment rate per county and the total persons with disabilities. This type of map is extremely handy in that it allows us to look at two very important data sets that wouldn't tell us much if they were to be presented alone. By looking at these two data sets together, we can see if there is high unemployment where there is high disability. This could lead us to make a correlation about whether or not disabilities hinder chances of getting hired. As far as the unemployment data goes, the darker the color, the higher the unemployment rates. With the disability data, the larger the wheelchairs, the higher the disability rates.
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