Race, Diversity, and Ethnicity in Egan, SD

The map below shows majority race by area in Egan, as self-identified on the US census. Darker shades indicate a larger racial majority in that neighborhood. This page also contains data and maps on Egan racial diversity and diversity scores. Click here to scroll to diversity data.

Egan, SD map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Egan overall is white, making up 50.7% of residents. The next most-common racial group is native american at 27.3%. There are more white people in the northeast areas of the city. People who identify as native american are most likely to be living in the central places. The data below shows how many people identify themselves as each of the following races, which most Americans base on their family's national origin:

Race in Egan
Race
Egan, SD Population
White
50.7%
Hispanic
8.6%
Black
2.9%
Asian
0.7%
Native American
27.3%
Other
9.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Egan, SD Population
White
50.7%
Hispanic
8.6%
Black
2.9%
Asian
0.7%
Native American
27.3%
Other
9.9%
   

Diversity and Diversity Scores for Egan, SD

The map below shows diversity in Egan. Areas in green are more diverse, while areas in red are much less diverse. Diversity, in this case, means a mixture of people with different race and ethnicity living close to one another. For example, all-black and all-white areas in the city would both be considered lacking diversity.

Egan, SD map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Egan Diversity Score

99

With a diversity score of 99 out of 100, Egan is much more diverse than other US cities. The most diverse area within Egan's proper boundaries is to the central of the city. The least diverse areas are located in the northeast parts of Egan.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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