The map below shows majority race by area in Highlands-Baywood 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 Highlands-Baywood Park racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Highlands-Baywood Park overall is white, making up 50.1% of residents. The next most-common racial group is asian at 41.6%. There are more white people in the central areas of the city. People who identify as asian 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 |
Highlands-Baywood Park, CA Population |
|---|---|
White |
50.1% |
Hispanic |
3.9% |
Black |
0.0% |
Asian |
41.6% |
Native American |
0.0% |
Other |
4.4% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Highlands-Baywood Park, CA Population |
|---|---|
White |
50.1% |
Hispanic |
3.9% |
Black |
0.0% |
Asian |
41.6% |
Native American |
0.0% |
Other |
4.4% |
Diversity and Diversity Scores for Highlands-Baywood Park, CA
The map below shows diversity in Highlands-Baywood 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.
Diversity Score
Diverse
Moderately diverse
No diversity
Highlands-Baywood Park Diversity Score
93
With a diversity score of 93 out of 100, Highlands-Baywood Park is much more diverse than other US cities. The most diverse area within Highlands-Baywood Park's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Highlands-Baywood Park.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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