The map below shows majority race by area in Twin Peaks, 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 Twin Peaks racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Twin Peaks overall is white, making up 48.4% of residents. The next most-common racial group is hispanic at 35.8%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the east 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 Twin Peaks
Self-Identified Race |
Twin Peaks, CA Population |
|---|---|
White |
48.4% |
Hispanic |
35.8% |
Black |
4.5% |
Asian |
6.8% |
Native American |
0.5% |
Other |
4.0% |
Diversity and Diversity Scores for Twin Peaks, CA
The map below shows diversity in Twin Peaks. 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.
Twin Peaks Diversity Score
62.9
More diverse than 96% of US cities
Twin Peaks has a diversity score of 62.9: 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. Twin Peaks is much more diverse than other US cities, more diverse than 96% of them. Within Twin Peaks's proper boundaries, the most diverse area is south Twin Peaks, and the least diverse areas are in north Twin Peaks.
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.