The map below shows majority race by area in Matthews 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 Matthews Crossroads racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Matthews Crossroads overall is black, making up 71.4% of residents. The next most-common racial group is white at 21.4%. There are more black people in the central areas of the city. People who identify as white 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 |
Matthews Crossroads, NC Population |
|---|---|
White |
21.4% |
Hispanic |
5.5% |
Black |
71.4% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.7% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Matthews Crossroads, NC Population |
|---|---|
White |
21.4% |
Hispanic |
5.5% |
Black |
71.4% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.7% |
Diversity and Diversity Scores for Matthews Crossroads, NC
The map below shows diversity in Matthews 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
Matthews Crossroads Diversity Score
80
With a diversity score of 80 out of 100, Matthews Crossroads is much more diverse than other US cities. The most diverse area within Matthews Crossroads's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Matthews Crossroads.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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