The map below shows majority race by area in Deer 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 Deer Park racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Deer Park overall is white, making up 71.2% of residents. The next most-common racial group is hispanic at 22.9%. There are more white people in the southeast areas of the city. People who identify as hispanic are most likely to be living in the central 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 Deer Park
Self-Identified Race |
Deer Park, CA Population |
|---|---|
White |
71.2% |
Hispanic |
22.9% |
Black |
0.0% |
Asian |
0.8% |
Native American |
0.0% |
Other |
5.1% |
Diversity and Diversity Scores for Deer Park, CA
The map below shows diversity in Deer 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.
Deer Park Diversity Score
43.8
More diverse than 77% of US cities
Deer Park has a diversity score of 43.8: 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. Deer Park is more diverse than other US cities, more diverse than 77% of them. Within Deer Park's proper boundaries, the most diverse area is northwest Deer Park, and the least diverse areas are in southeast Deer 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.