The map below shows majority race by area in Big Pine, 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 Big Pine racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Big Pine overall is white, making up 51.5% of residents. The next most-common racial group is native american at 22.3%. There are more white people in the southeast areas of the city. People who identify as native american 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 Big Pine
Self-Identified Race |
Big Pine, CA Population |
|---|---|
White |
51.5% |
Hispanic |
14.6% |
Black |
0.2% |
Asian |
1.1% |
Native American |
22.3% |
Other |
10.3% |
Diversity and Diversity Scores for Big Pine, CA
The map below shows diversity in Big Pine. 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.
Big Pine Diversity Score
65.3
More diverse than 97% of US cities
Big Pine has a diversity score of 65.3: 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. Big Pine is much more diverse than other US cities, more diverse than 97% of them. Within Big Pine's proper boundaries, the most diverse area is central Big Pine, and the least diverse areas are in southeast Big Pine.
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.