The map below shows majority race by area in North Side, 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 North Side racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in North Side overall is white, making up 63.3% of residents. The next most-common racial group is hispanic at 21.9%. There are more white people in the southeast areas of the city. People who identify as hispanic are most likely to be living in the north 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 North Side
Self-Identified Race |
North Side, NC Population |
|---|---|
White |
63.3% |
Hispanic |
21.9% |
Black |
9.2% |
Asian |
1.7% |
Native American |
0.6% |
Other |
3.3% |
Diversity and Diversity Scores for North Side, NC
The map below shows diversity in North Side. 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.
North Side Diversity Score
54.2
More diverse than 89% of US cities
North Side has a diversity score of 54.2: 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. North Side is much more diverse than other US cities, more diverse than 89% of them. Within North Side's proper boundaries, the most diverse area is north North Side, and the least diverse areas are in southeast North Side.
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.