The map below shows majority race by area in Di Giorgio, 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 Di Giorgio racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Di Giorgio overall is hispanic, making up 65.0% of residents. The next most-common racial group is white at 31.6%. There are more hispanic people in the southwest areas of the city. People who identify as white are most likely to be living in the northeast 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 Di Giorgio
Self-Identified Race |
Di Giorgio, CA Population |
|---|---|
White |
31.6% |
Hispanic |
65.0% |
Black |
0.5% |
Asian |
1.3% |
Native American |
0.0% |
Other |
1.6% |
Diversity and Diversity Scores for Di Giorgio, CA
The map below shows diversity in Di Giorgio. 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.
Di Giorgio Diversity Score
47.6
More diverse than 81% of US cities
Di Giorgio has a diversity score of 47.6: 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. Di Giorgio is much more diverse than other US cities, more diverse than 81% of them. Within Di Giorgio's proper boundaries, the most diverse area is northeast Di Giorgio, and the least diverse areas are in southwest Di Giorgio.
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.