Race, Diversity, and Ethnicity in Snow, OK

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

Snow, OK 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 Snow overall is white, making up 72.2% of residents. The next most-common racial group is native american at 17.8%. There are more white people in the central 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 Snow
Race
Snow, OK Population
White
72.2%
Hispanic
0.0%
Black
0.5%
Asian
0.8%
Native American
17.8%
Other
8.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Snow, OK Population
White
72.2%
Hispanic
0.0%
Black
0.5%
Asian
0.8%
Native American
17.8%
Other
8.7%
   

Diversity and Diversity Scores for Snow, OK

The map below shows diversity in Snow. 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.

Snow, OK map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Snow Diversity Score

83

With a diversity score of 83 out of 100, Snow is much more diverse than other US cities. The most diverse area within Snow's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Snow.

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

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