Election Map Population Density

Alaska is the state that shrinks the most and dc and new jersey are the areas that grow the most in the new map.

Election map population density. Here s another map i made that looks at the 2016 and 2020 presidential election by county and shows the size of each county by land area or population. Populations alone don t win presidential elections. The term dasymetric refers to a map that accounts for population density in a given area.

Map created by larry weru at stemlounge. We love how this map employs a unique approach in dot density mapping each dot represents a single vote from the 130 million total votes. It gives a better idea of the popular vote for the 2012 us presidential election.

To solve the population density land mass issue many major online publications have switched from using maps to using cartograms which replace geographic units such as states with abstract. County level election results from 2020 and 2016 the map has been updated to include the latest 2020 results and also adds the option to color the circles by the win margin rather than just looking at the winner. The map above is one of several attempts to improve on the somewhat famous 2016 us presidential election map which you can see below.

Instead of filling an entire state or county with the color red or blue to indicate which party won. It is a dasymetric map which means instead of dots filling collection areas uniformly they are reallocated to more representative areas. This map sizes states based on the number of electoral votes.

Click here to view a visualization that looks more explicitly at the correlation between population density andread more. At united states population density map page view political map of united states physical maps usa states map satellite images photos and where is united states location in world map. Sometimes election maps hide important factors most crucially population.

To look at all the red it would appear republicans dominated the race. We love how this map uses a technique called value by alpha to overlay a second layer that varies transparency by population density. In this case the dots are constrained to areas where people live.