The map below shows majority race by area in Stovepipe Wells, 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 Stovepipe Wells racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Stovepipe Wells overall is white, making up 73.2% of residents. The next most-common racial group is hispanic at 19.7%. There are more white people in the central areas of the city. People who identify as hispanic 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 Stovepipe Wells
Self-Identified Race |
Stovepipe Wells, CA Population |
|---|---|
White |
73.2% |
Hispanic |
19.7% |
Black |
0.0% |
Asian |
1.1% |
Native American |
4.2% |
Other |
1.7% |
Diversity and Diversity Scores for Stovepipe Wells, CA
The map below shows diversity in Stovepipe Wells. 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
Stovepipe Wells Diversity Score
42.3
More diverse than 75% of US cities
Stovepipe Wells has a diversity score of 42.3: 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. Stovepipe Wells is more diverse than other US cities, more diverse than 75% of them.
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.