The map below shows majority race by area in New Albany, 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 New Albany racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in New Albany overall is white, making up 68.0% of residents. The next most-common racial group is black at 18.1%. There are more white people in the southwest areas of the city. People who identify as black are most likely to be living in the south 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 New Albany
Self-Identified Race |
New Albany, MS Population |
|---|---|
White |
68.0% |
Hispanic |
8.0% |
Black |
18.1% |
Asian |
0.4% |
Native American |
0.7% |
Other |
4.9% |
Diversity and Diversity Scores for New Albany, MS
The map below shows diversity in New Albany. 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.
New Albany Diversity Score
49.6
More diverse than 83% of US cities
New Albany has a diversity score of 49.6: 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. New Albany is much more diverse than other US cities, more diverse than 83% of them. Within New Albany's proper boundaries, the most diverse area is south New Albany, and the least diverse areas are in southwest New Albany.
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.