The map below shows majority race by area in Kinneloa Mesa, 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 Kinneloa Mesa racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Kinneloa Mesa overall is white, making up 67.0% of residents. The next most-common racial group is asian at 17.6%. There are more white people in the southwest areas of the city. People who identify as asian 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 Kinneloa Mesa
Self-Identified Race |
Kinneloa Mesa, CA Population |
|---|---|
White |
67.0% |
Hispanic |
12.4% |
Black |
0.3% |
Asian |
17.6% |
Native American |
0.0% |
Other |
2.7% |
Diversity and Diversity Scores for Kinneloa Mesa, CA
The map below shows diversity in Kinneloa Mesa. 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.
Less diverse
More diverse
Colorblind friendly
off
Kinneloa Mesa Diversity Score
50.3
More diverse than 84% of US cities
Kinneloa Mesa has a diversity score of 50.3: 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. Kinneloa Mesa is much more diverse than other US cities, more diverse than 84% of them.
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.