Race, Diversity, and Ethnicity in Freeman, SD

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

Freeman, 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 Freeman overall is white, making up 81.1% of residents. The next most-common racial group is other at 11.3%. There are more white people in the northwest areas of the city. People who identify as other 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 Freeman
Race
Freeman, SD Population
White
81.1%
Hispanic
5.3%
Black
0.0%
Asian
1.4%
Native American
0.8%
Other
11.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Freeman, SD Population
White
81.1%
Hispanic
5.3%
Black
0.0%
Asian
1.4%
Native American
0.8%
Other
11.3%
   

Diversity and Diversity Scores for Freeman, SD

The map below shows diversity in Freeman. 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.

Freeman, SD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Freeman Diversity Score

74

With a diversity score of 74 out of 100, Freeman is more diverse than other US cities. The most diverse area within Freeman's proper boundaries is to the central of the city. The least diverse areas are located in the northwest parts of Freeman.

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

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