The map below shows majority race by area in Uinta National Forest, 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 Uinta National Forest racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Uinta National Forest overall is white, making up 84.0% of residents. The next most-common racial group is black at 16.0%. There are more white people in the central areas of the city. People who identify as black 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 |
Uinta National Forest, UT Population |
|---|---|
White |
84.0% |
Hispanic |
0.0% |
Black |
16.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Uinta National Forest, UT Population |
|---|---|
White |
84.0% |
Hispanic |
0.0% |
Black |
16.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Uinta National Forest, UT
The map below shows diversity in Uinta National Forest. 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
Uinta National Forest Diversity Score
45
With a diversity score of 45 out of 100, Uinta National Forest is about average for diversity versus other US cities. The most diverse area within Uinta National Forest's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Uinta National Forest.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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