The map below shows majority race by area in Burnt Ranch, 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 Burnt Ranch racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Burnt Ranch overall is white, making up 70.8% of residents. The next most-common racial group is other at 18.0%. There are more white people in the central areas of the city. People who identify as other 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 in Burnt Ranch
Self-Identified Race |
Burnt Ranch, CA Population |
|---|---|
White |
70.8% |
Hispanic |
2.7% |
Black |
5.6% |
Asian |
0.4% |
Native American |
2.5% |
Other |
18.0% |
Diversity and Diversity Scores for Burnt Ranch, CA
The map below shows diversity in Burnt Ranch. 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.
Burnt Ranch Diversity Score
46.2
More diverse than 79% of US cities
Burnt Ranch has a diversity score of 46.2: 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. Burnt Ranch is more diverse than other US cities, more diverse than 79% of them. Within Burnt Ranch's proper boundaries, the most diverse area is north Burnt Ranch, and the least diverse areas are in central Burnt Ranch.
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.