The map below shows majority race by area in Gold River, 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 Gold River racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Gold River overall is white, making up 61.4% of residents. The next most-common racial group is asian at 15.6%. 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 south 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 Gold River
Self-Identified Race |
Gold River, CA Population |
|---|---|
White |
61.4% |
Hispanic |
11.1% |
Black |
7.5% |
Asian |
15.6% |
Native American |
0.0% |
Other |
4.5% |
Diversity and Diversity Scores for Gold River, CA
The map below shows diversity in Gold River. 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.
Gold River Diversity Score
57.9
More diverse than 92% of US cities
Gold River has a diversity score of 57.9: 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. Gold River is much more diverse than other US cities, more diverse than 92% of them. Within Gold River's proper boundaries, the most diverse area is south Gold River, and the least diverse areas are in southwest Gold River.
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.