The map below shows majority race by area in Gas Point, 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 Gas Point racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Gas Point overall is white, making up 79.6% of residents. The next most-common racial group is hispanic at 10.5%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the southwest 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 Gas Point
Self-Identified Race |
Gas Point, CA Population |
|---|---|
White |
79.6% |
Hispanic |
10.5% |
Black |
0.0% |
Asian |
0.3% |
Native American |
1.6% |
Other |
7.9% |
Diversity and Diversity Scores for Gas Point, CA
The map below shows diversity in Gas Point. 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.
Gas Point Diversity Score
34.8
More diverse than 67% of US cities
Gas Point has a diversity score of 34.8: 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. Gas Point is more diverse than other US cities, more diverse than 67% of them. Within Gas Point's proper boundaries, the most diverse area is east Gas Point, and the least diverse areas are in central Gas Point.
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.