The map below shows majority race by area in Old Sparta, 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 Old Sparta racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Old Sparta overall is white, making up 57.2% of residents. The next most-common racial group is black at 35.9%. There are more white people in the northwest areas of the city. People who identify as black 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 Old Sparta
Self-Identified Race |
Old Sparta, NC Population |
|---|---|
White |
57.2% |
Hispanic |
3.5% |
Black |
35.9% |
Asian |
0.0% |
Native American |
0.0% |
Other |
3.3% |
Diversity and Diversity Scores for Old Sparta, NC
The map below shows diversity in Old Sparta. 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.
Old Sparta Diversity Score
54.1
More diverse than 88% of US cities
Old Sparta has a diversity score of 54.1: 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. Old Sparta is much more diverse than other US cities, more diverse than 88% of them. Within Old Sparta's proper boundaries, the most diverse area is north Old Sparta, and the least diverse areas are in northwest Old Sparta.
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.