The map below shows majority race by area in Balls Ferry, 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 Balls Ferry racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Balls Ferry overall is white, making up 80.7% of residents. The next most-common racial group is other at 10.1%. 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 northwest 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 Balls Ferry
Self-Identified Race |
Balls Ferry, CA Population |
|---|---|
White |
80.7% |
Hispanic |
7.6% |
Black |
0.1% |
Asian |
0.2% |
Native American |
1.3% |
Other |
10.1% |
Diversity and Diversity Scores for Balls Ferry, CA
The map below shows diversity in Balls Ferry. 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.
Balls Ferry Diversity Score
33.3
More diverse than 65% of US cities
Balls Ferry has a diversity score of 33.3: 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. Balls Ferry is more diverse than other US cities, more diverse than 65% of them. Within Balls Ferry's proper boundaries, the most diverse area is south Balls Ferry, and the least diverse areas are in northwest Balls Ferry.
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.