Race, Diversity, and Ethnicity in Silva, MO

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

Silva, MO 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 Silva overall is white, making up 95.1% of residents. The next most-common racial group is hispanic at 4.0%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the southeast 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 Silva
Race
Silva, MO Population
White
95.1%
Hispanic
4.0%
Black
0.2%
Asian
0.0%
Native American
0.0%
Other
0.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Silva, MO Population
White
95.1%
Hispanic
4.0%
Black
0.2%
Asian
0.0%
Native American
0.0%
Other
0.8%
   

Diversity and Diversity Scores for Silva, MO

The map below shows diversity in Silva. 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.

Silva, MO map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Silva Diversity Score

18

With a diversity score of 18 out of 100, Silva is much less diverse than other US cities. The most diverse area within Silva's proper boundaries is to the southeast of the city. The least diverse areas are located in the central parts of Silva.

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

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