The map below shows majority race by area in Susan Moore, 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 Susan Moore racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Susan Moore overall is white, making up 80.0% of residents. The next most-common racial group is hispanic at 18.7%. There are more white people in the northwest 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 Susan Moore
Self-Identified Race |
Susan Moore, AL Population |
|---|---|
White |
80.0% |
Hispanic |
18.7% |
Black |
0.3% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.0% |
Diversity and Diversity Scores for Susan Moore, AL
The map below shows diversity in Susan Moore. 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.
Susan Moore Diversity Score
32.5
More diverse than 64% of US cities
Susan Moore has a diversity score of 32.5: 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. Susan Moore is more diverse than other US cities, more diverse than 64% of them. Within Susan Moore's proper boundaries, the most diverse area is east Susan Moore, and the least diverse areas are in northwest Susan Moore.
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.