The map below shows majority race by area in Pittsburg, 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 Pittsburg racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Pittsburg overall is hispanic, making up 42.9% of residents. The next most-common racial group is asian at 19.4%. There are more hispanic people in the central areas of the city. People who identify as asian are most likely to be living in the west 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 Pittsburg
Self-Identified Race |
Pittsburg, CA Population |
|---|---|
White |
15.3% |
Hispanic |
42.9% |
Black |
13.6% |
Asian |
19.4% |
Native American |
0.2% |
Other |
8.4% |
Diversity and Diversity Scores for Pittsburg, CA
The map below shows diversity in Pittsburg. 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.
Pittsburg Diversity Score
72.9
More diverse than 100% of US cities
Pittsburg has a diversity score of 72.9: 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. Pittsburg is much more diverse than other US cities, more diverse than 100% of them. Within Pittsburg's proper boundaries, the most diverse area is east Pittsburg, and the least diverse areas are in central Pittsburg.
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.