The map below shows majority race by area in Crest Park, 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 Crest Park racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Crest Park overall is white, making up 60.1% of residents. The next most-common racial group is hispanic at 26.1%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the east 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 Crest Park
Self-Identified Race |
Crest Park, CA Population |
|---|---|
White |
60.1% |
Hispanic |
26.1% |
Black |
0.0% |
Asian |
1.6% |
Native American |
2.0% |
Other |
10.1% |
Diversity and Diversity Scores for Crest Park, CA
The map below shows diversity in Crest Park. 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.
Crest Park Diversity Score
56.0
More diverse than 91% of US cities
Crest Park has a diversity score of 56.0: 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. Crest Park is much more diverse than other US cities, more diverse than 91% of them. Within Crest Park's proper boundaries, the most diverse area is east Crest Park, and the least diverse areas are in north Crest Park.
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.