The map below shows majority race by area in Union City, 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 Union City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Union City overall is asian, making up 56.7% of residents. The next most-common racial group is hispanic at 20.1%. There are more asian people in the northwest areas of the city. People who identify as hispanic are most likely to be living in the northeast 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 Union City
Self-Identified Race |
Union City, CA Population |
|---|---|
White |
14.2% |
Hispanic |
20.1% |
Black |
4.3% |
Asian |
56.7% |
Native American |
0.2% |
Other |
4.5% |
Diversity and Diversity Scores for Union City, CA
The map below shows diversity in Union City. 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.
Union City Diversity Score
61.4
More diverse than 95% of US cities
Union City has a diversity score of 61.4: 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. Union City is much more diverse than other US cities, more diverse than 95% of them. Within Union City's proper boundaries, the most diverse area is north Union City, and the least diverse areas are in northwest Union City.
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.