The map below shows majority race by area in West Siloam Springs, 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 West Siloam Springs racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in West Siloam Springs overall is white, making up 57.7% of residents. The next most-common racial group is native american at 23.0%. There are more white people in the west areas of the city. People who identify as native american are most likely to be living in the west 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 |
West Siloam Springs, OK Population |
|---|---|
White |
57.7% |
Hispanic |
8.6% |
Black |
0.2% |
Asian |
2.5% |
Native American |
23.0% |
Other |
8.0% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
West Siloam Springs, OK Population |
|---|---|
White |
57.7% |
Hispanic |
8.6% |
Black |
0.2% |
Asian |
2.5% |
Native American |
23.0% |
Other |
8.0% |
Diversity and Diversity Scores for West Siloam Springs, OK
The map below shows diversity in West Siloam Springs. 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.
Diversity Score
Diverse
Moderately diverse
No diversity
West Siloam Springs Diversity Score
98
With a diversity score of 98 out of 100, West Siloam Springs is much more diverse than other US cities. The most diverse area within West Siloam Springs's proper boundaries is to the northeast of the city. The least diverse areas are located in the west parts of West Siloam Springs.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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