Bivariate choropleth maps combine different sets of data to display two variables on a single map by using symbols and colors. This allows the map maker to show the relativity between the first variable to the second. In comparison to a univariate choropleth map, a bivariate is a bit harder to read but it can be an effective tool to explore the geographical relationship visually. In this example, you can see that this map combines two sets of data: percentage of population under age 18 (in orange shades) with the percentage of rural population (in blue shades). The linear relationship between the two data is expressed in the lower left corner where we can observe an overlapping trend.
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