The map below shows majority race by area in Casa Grande, 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 Casa Grande racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Casa Grande overall is white, making up 44.5% of residents. The next most-common racial group is hispanic at 41.0%. There are more white people in the east 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 Casa Grande
Self-Identified Race |
Casa Grande, AZ Population |
|---|---|
White |
44.5% |
Hispanic |
41.0% |
Black |
4.9% |
Asian |
2.4% |
Native American |
1.9% |
Other |
5.4% |
Diversity and Diversity Scores for Casa Grande, AZ
The map below shows diversity in Casa Grande. 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.
Casa Grande Diversity Score
62.8
More diverse than 96% of US cities
Casa Grande has a diversity score of 62.8: 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. Casa Grande is much more diverse than other US cities, more diverse than 96% of them. Within Casa Grande's proper boundaries, the most diverse area is south Casa Grande, and the least diverse areas are in east Casa Grande.
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.