The map below shows majority race by area in Stuttgart, 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 Stuttgart racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Stuttgart overall is white, making up 53.7% of residents. The next most-common racial group is black at 40.2%. There are more white people in the southeast areas of the city. People who identify as black are most likely to be living in the north 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 Stuttgart
Self-Identified Race |
Stuttgart, AR Population |
|---|---|
White |
53.7% |
Hispanic |
3.2% |
Black |
40.2% |
Asian |
0.1% |
Native American |
0.1% |
Other |
2.7% |
Diversity and Diversity Scores for Stuttgart, AR
The map below shows diversity in Stuttgart. 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.
Stuttgart Diversity Score
54.8
More diverse than 89% of US cities
Stuttgart has a diversity score of 54.8: 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. Stuttgart is much more diverse than other US cities, more diverse than 89% of them. Within Stuttgart's proper boundaries, the most diverse area is central Stuttgart, and the least diverse areas are in southeast Stuttgart.
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.