The map below shows majority race by area in Pope Air Force Base, 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 Pope Air Force Base racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Pope Air Force Base overall is white, making up 41.4% of residents. The next most-common racial group is other at 24.1%. There are more white people in the central areas of the city. People who identify as other 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 |
Pope Air Force Base, NC Population |
|---|---|
White |
41.4% |
Hispanic |
22.7% |
Black |
10.5% |
Asian |
1.1% |
Native American |
0.2% |
Other |
24.1% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Pope Air Force Base, NC Population |
|---|---|
White |
41.4% |
Hispanic |
22.7% |
Black |
10.5% |
Asian |
1.1% |
Native American |
0.2% |
Other |
24.1% |
Diversity and Diversity Scores for Pope Air Force Base, NC
The map below shows diversity in Pope Air Force Base. 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
Pope Air Force Base Diversity Score
98
With a diversity score of 98 out of 100, Pope Air Force Base is much more diverse than other US cities. The most diverse area within Pope Air Force Base's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Pope Air Force Base.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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