The map below shows majority race by area in Fort Bragg, 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 Bragg racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Fort Bragg overall is white, making up 66.3% of residents. The next most-common racial group is hispanic at 23.8%. There are more white people in the southeast 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 Bragg
Self-Identified Race |
Fort Bragg, CA Population |
|---|---|
White |
66.3% |
Hispanic |
23.8% |
Black |
0.4% |
Asian |
2.3% |
Native American |
0.6% |
Other |
6.6% |
Diversity and Diversity Scores for Fort Bragg, CA
The map below shows diversity in Fort Bragg. 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 Bragg Diversity Score
49.9
More diverse than 83% of US cities
Fort Bragg has a diversity score of 49.9: 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 Bragg is much more diverse than other US cities, more diverse than 83% of them. Within Fort Bragg's proper boundaries, the most diverse area is northwest Fort Bragg, and the least diverse areas are in southeast Fort Bragg.
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.