The map below shows majority race by area in Livermore, 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 Livermore racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Livermore overall is white, making up 52.1% of residents. The next most-common racial group is hispanic at 21.2%. There are more white people in the south areas of the city. People who identify as hispanic are most likely to be living in the west 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 Livermore
Self-Identified Race |
Livermore, CA Population |
|---|---|
White |
52.1% |
Hispanic |
21.2% |
Black |
2.1% |
Asian |
17.9% |
Native American |
0.1% |
Other |
6.6% |
Diversity and Diversity Scores for Livermore, CA
The map below shows diversity in Livermore. 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.
Livermore Diversity Score
64.6
More diverse than 97% of US cities
Livermore has a diversity score of 64.6: 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. Livermore is much more diverse than other US cities, more diverse than 97% of them. Within Livermore's proper boundaries, the most diverse area is northeast Livermore, and the least diverse areas are in south Livermore.
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.