The map below shows majority race by area in East Carbon, 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 East Carbon racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in East Carbon overall is white, making up 77.9% of residents. The next most-common racial group is hispanic at 20.1%. 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 East Carbon
Self-Identified Race |
East Carbon, UT Population |
|---|---|
White |
77.9% |
Hispanic |
20.1% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.8% |
Other |
1.2% |
Diversity and Diversity Scores for East Carbon, UT
The map below shows diversity in East Carbon. 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.
East Carbon Diversity Score
35.2
More diverse than 68% of US cities
East Carbon has a diversity score of 35.2: 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. East Carbon is more diverse than other US cities, more diverse than 68% of them. Within East Carbon's proper boundaries, the most diverse area is northeast East Carbon, and the least diverse areas are in central East Carbon.
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.