The map below shows majority race by area in Fort Mohave, 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 Fort Mohave racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Fort Mohave overall is white, making up 75.4% of residents. The next most-common racial group is hispanic at 17.0%. There are more white people in the west areas of the city. People who identify as hispanic are most likely to be living in the northwest 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 Fort Mohave
Self-Identified Race |
Fort Mohave, AZ Population |
|---|---|
White |
75.4% |
Hispanic |
17.0% |
Black |
0.4% |
Asian |
2.0% |
Native American |
0.3% |
Other |
4.9% |
Diversity and Diversity Scores for Fort Mohave, AZ
The map below shows diversity in Fort Mohave. 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.
Fort Mohave Diversity Score
39.9
More diverse than 73% of US cities
Fort Mohave has a diversity score of 39.9: 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. Fort Mohave is more diverse than other US cities, more diverse than 73% of them. Within Fort Mohave's proper boundaries, the most diverse area is northeast Fort Mohave, and the least diverse areas are in west Fort Mohave.
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.