The map below shows majority race by area in South Miami, 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 South Miami racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in South Miami overall is hispanic, making up 58.4% of residents. The next most-common racial group is white at 27.0%. There are more hispanic people in the southwest areas of the city. People who identify as white 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 South Miami
Self-Identified Race |
South Miami, FL Population |
|---|---|
White |
27.0% |
Hispanic |
58.4% |
Black |
7.8% |
Asian |
2.1% |
Native American |
0.0% |
Other |
4.7% |
Diversity and Diversity Scores for South Miami, FL
The map below shows diversity in South Miami. 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.
South Miami Diversity Score
57.7
More diverse than 92% of US cities
South Miami has a diversity score of 57.7: 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. South Miami is much more diverse than other US cities, more diverse than 92% of them. Within South Miami's proper boundaries, the most diverse area is northeast South Miami, and the least diverse areas are in southwest South Miami.
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.