Race, Diversity, and Ethnicity in Livona, ND

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

Livona, ND 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 Livona overall is white, making up 90.4% of residents. The next most-common racial group is other at 3.5%. There are more white people in the east areas of the city. People who identify as other are most likely to be living in the southwest 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 Livona
Race
Livona, ND Population
White
90.4%
Hispanic
3.0%
Black
0.5%
Asian
0.1%
Native American
2.6%
Other
3.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Livona, ND Population
White
90.4%
Hispanic
3.0%
Black
0.5%
Asian
0.1%
Native American
2.6%
Other
3.5%
   

Diversity and Diversity Scores for Livona, ND

The map below shows diversity in Livona. 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.

Livona, ND map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Livona Diversity Score

64

With a diversity score of 64 out of 100, Livona is more diverse than other US cities. The most diverse area within Livona's proper boundaries is to the north of the city. The least diverse areas are located in the southwest parts of Livona.

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

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