The map below shows majority race by area in McArthur Crossroads, 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 McArthur Crossroads racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in McArthur Crossroads overall is white, making up 53.7% of residents. The next most-common racial group is native american at 18.0%. There are more white people in the central areas of the city. People who identify as native american 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 |
McArthur Crossroads, NC Population |
|---|---|
White |
53.7% |
Hispanic |
7.5% |
Black |
16.9% |
Asian |
0.1% |
Native American |
18.0% |
Other |
3.7% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
McArthur Crossroads, NC Population |
|---|---|
White |
53.7% |
Hispanic |
7.5% |
Black |
16.9% |
Asian |
0.1% |
Native American |
18.0% |
Other |
3.7% |
Diversity and Diversity Scores for McArthur Crossroads, NC
The map below shows diversity in McArthur Crossroads. 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.
Diversity Score
Diverse
Moderately diverse
No diversity
McArthur Crossroads Diversity Score
99
With a diversity score of 99 out of 100, McArthur Crossroads is much more diverse than other US cities. The most diverse area within McArthur Crossroads's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of McArthur Crossroads.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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