The map below shows majority race by area in San Pablo, 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 San Pablo racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in San Pablo overall is hispanic, making up 51.2% of residents. The next most-common racial group is asian at 16.4%. There are more hispanic people in the southwest areas of the city. People who identify as asian are most likely to be living in the north 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 San Pablo
Self-Identified Race |
San Pablo, CA Population |
|---|---|
White |
12.4% |
Hispanic |
51.2% |
Black |
13.6% |
Asian |
16.4% |
Native American |
0.1% |
Other |
6.3% |
Diversity and Diversity Scores for San Pablo, CA
The map below shows diversity in San Pablo. 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.
San Pablo Diversity Score
67.3
More diverse than 98% of US cities
San Pablo has a diversity score of 67.3: 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. San Pablo is much more diverse than other US cities, more diverse than 98% of them. Within San Pablo's proper boundaries, the most diverse area is north San Pablo, and the least diverse areas are in southwest San Pablo.
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.