The map below shows majority race by area in San Isabel, 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 San Isabel racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in San Isabel overall is white, making up 78.5% of residents. The next most-common racial group is hispanic at 15.8%. 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 San Isabel
Self-Identified Race |
San Isabel, CO Population |
|---|---|
White |
78.5% |
Hispanic |
15.8% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
5.7% |
Diversity and Diversity Scores for San Isabel, CO
The map below shows diversity in San Isabel. 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.
San Isabel Diversity Score
35.5
More diverse than 68% of US cities
San Isabel has a diversity score of 35.5: 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. San Isabel is more diverse than other US cities, more diverse than 68% of them. Within San Isabel's proper boundaries, the most diverse area is east San Isabel, and the least diverse areas are in north San Isabel.
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.