The map below shows majority race by area in Miramonte, 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 Miramonte racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Miramonte overall is white, making up 62.6% of residents. The next most-common racial group is hispanic at 26.3%. 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 southwest 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 Miramonte
Self-Identified Race |
Miramonte, CA Population |
|---|---|
White |
62.6% |
Hispanic |
26.3% |
Black |
0.4% |
Asian |
9.2% |
Native American |
0.0% |
Other |
1.6% |
Diversity and Diversity Scores for Miramonte, CA
The map below shows diversity in Miramonte. 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.
Miramonte Diversity Score
53.1
More diverse than 87% of US cities
Miramonte has a diversity score of 53.1: 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. Miramonte is much more diverse than other US cities, more diverse than 87% of them. Within Miramonte's proper boundaries, the most diverse area is southwest Miramonte, and the least diverse areas are in central Miramonte.
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.