The map below shows majority race by area in New Augusta, 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 Augusta racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in New Augusta overall is white, making up 70.6% of residents. The next most-common racial group is black at 21.3%. There are more white people in the northeast areas of the city. People who identify as black are most likely to be living in the central 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 Augusta
Self-Identified Race |
New Augusta, MS Population |
|---|---|
White |
70.6% |
Hispanic |
2.3% |
Black |
21.3% |
Asian |
0.8% |
Native American |
0.2% |
Other |
4.8% |
Diversity and Diversity Scores for New Augusta, MS
The map below shows diversity in New Augusta. 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 Augusta Diversity Score
45.4
More diverse than 78% of US cities
New Augusta has a diversity score of 45.4: 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 Augusta is more diverse than other US cities, more diverse than 78% of them. Within New Augusta's proper boundaries, the most diverse area is central New Augusta, and the least diverse areas are in northeast New Augusta.
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.