Race, Diversity, and Ethnicity in Bethlehem, SD

The map below shows majority race by area in Bethlehem, 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 Bethlehem racial diversity and diversity scores. Click here to scroll to diversity data.

Bethlehem, SD map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Bethlehem overall is white, making up 84.9% of residents. The next most-common racial group is native american at 8.1%. There are more white people in the north areas of the city. People who identify as native american are most likely to be living in the northwest 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 Bethlehem
Race
Bethlehem, SD Population
White
84.9%
Hispanic
1.2%
Black
1.8%
Asian
0.0%
Native American
8.1%
Other
4.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Bethlehem, SD Population
White
84.9%
Hispanic
1.2%
Black
1.8%
Asian
0.0%
Native American
8.1%
Other
4.0%
   

Diversity and Diversity Scores for Bethlehem, SD

The map below shows diversity in Bethlehem. 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.

Bethlehem, SD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Bethlehem Diversity Score

72

With a diversity score of 72 out of 100, Bethlehem is more diverse than other US cities. The most diverse area within Bethlehem's proper boundaries is to the northwest of the city. The least diverse areas are located in the north parts of Bethlehem.

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

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