The map below shows majority race by area in Tees Toh, 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 Tees Toh racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Tees Toh overall is native american, making up 88.8% of residents. The next most-common racial group is other at 5.7%. There are more native american people in the northeast areas of the city. People who identify as other are most likely to be living in the south 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 Tees Toh
Self-Identified Race |
Tees Toh, AZ Population |
|---|---|
White |
0.3% |
Hispanic |
3.5% |
Black |
0.0% |
Asian |
1.8% |
Native American |
88.8% |
Other |
5.7% |
Diversity and Diversity Scores for Tees Toh, AZ
The map below shows diversity in Tees Toh. 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.
Tees Toh Diversity Score
20.7
More diverse than 47% of US cities
Tees Toh has a diversity score of 20.7: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Tees Toh is about average for diversity versus other US cities, more diverse than 47% of them. Within Tees Toh's proper boundaries, the most diverse area is south Tees Toh, and the least diverse areas are in northeast Tees Toh.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.