The map below shows majority race by area in Five Points, 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 Five Points racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Five Points overall is white, making up 79.8% of residents. The next most-common racial group is black at 18.8%. There are more white people in the east areas of the city. People who identify as black are most likely to be living in the southwest 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 Five Points
Self-Identified Race |
Five Points, AL Population |
|---|---|
White |
79.8% |
Hispanic |
1.0% |
Black |
18.8% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.4% |
Diversity and Diversity Scores for Five Points, AL
The map below shows diversity in Five Points. 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.
Five Points Diversity Score
32.8
More diverse than 65% of US cities
Five Points has a diversity score of 32.8: 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. Five Points is more diverse than other US cities, more diverse than 65% of them. Within Five Points's proper boundaries, the most diverse area is southwest Five Points, and the least diverse areas are in east Five Points.
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.