The map below shows majority race by area in Likely, 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 Likely racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Likely overall is white, making up 83.0% of residents. The next most-common racial group is other at 10.0%. There are more white people in the northwest areas of the city. People who identify as other 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 Likely
Self-Identified Race |
Likely, CA Population |
|---|---|
White |
83.0% |
Hispanic |
6.9% |
Black |
0.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
10.0% |
Diversity and Diversity Scores for Likely, CA
The map below shows diversity in Likely. 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
Likely Diversity Score
29.7
More diverse than 61% of US cities
Likely has a diversity score of 29.7: 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. Likely is more diverse than other US cities, more diverse than 61% of them. Within Likely's proper boundaries, the most diverse area is southwest Likely, and the least diverse areas are in northwest Likely.
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.