The map below shows majority race by area in Archer Lodge, 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 Archer Lodge racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Archer Lodge overall is white, making up 64.8% of residents. The next most-common racial group is black at 16.8%. There are more white people in the east areas of the city. People who identify as black are most likely to be living in the northeast 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 Archer Lodge
Self-Identified Race |
Archer Lodge, NC Population |
|---|---|
White |
64.8% |
Hispanic |
11.4% |
Black |
16.8% |
Asian |
0.6% |
Native American |
0.0% |
Other |
6.5% |
Diversity and Diversity Scores for Archer Lodge, NC
The map below shows diversity in Archer Lodge. 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.
Archer Lodge Diversity Score
53.5
More diverse than 88% of US cities
Archer Lodge has a diversity score of 53.5: 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. Archer Lodge is much more diverse than other US cities, more diverse than 88% of them. Within Archer Lodge's proper boundaries, the most diverse area is south Archer Lodge, and the least diverse areas are in east Archer Lodge.
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.