The map below shows majority race by area in Old Hundred, 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 Hundred racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Old Hundred overall is white, making up 49.9% of residents. The next most-common racial group is black at 28.3%. There are more white people in the west 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 Old Hundred
Self-Identified Race |
Old Hundred, NC Population |
|---|---|
White |
49.9% |
Hispanic |
2.8% |
Black |
28.3% |
Asian |
1.3% |
Native American |
10.4% |
Other |
7.2% |
Diversity and Diversity Scores for Old Hundred, NC
The map below shows diversity in Old Hundred. 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 Hundred Diversity Score
65.4
More diverse than 97% of US cities
Old Hundred has a diversity score of 65.4: 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. Old Hundred is much more diverse than other US cities, more diverse than 97% of them. Within Old Hundred's proper boundaries, the most diverse area is central Old Hundred, and the least diverse areas are in west Old Hundred.
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.