Race, Diversity, and Ethnicity in Fort Dix, NJ

The map below shows majority race by area in Fort Dix, 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 Fort Dix racial diversity and diversity scores. Click here to scroll to diversity data.

Fort Dix, NJ map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Fort Dix overall is black, making up 40.3% of residents. The next most-common racial group is white at 33.1%. There are more black people in the east areas of the city. People who identify as white are most likely to be living in the southwest 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 Fort Dix
Race
Fort Dix, NJ Population
White
33.1%
Hispanic
22.7%
Black
40.3%
Asian
1.6%
Native American
0.2%
Other
2.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Fort Dix, NJ Population
White
33.1%
Hispanic
22.7%
Black
40.3%
Asian
1.6%
Native American
0.2%
Other
2.2%
   

Diversity and Diversity Scores for Fort Dix, NJ

The map below shows diversity in Fort Dix. 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.

Fort Dix, NJ map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Fort Dix Diversity Score

99

With a diversity score of 99 out of 100, Fort Dix is much more diverse than other US cities. The most diverse area within Fort Dix's proper boundaries is to the central of the city. The least diverse areas are located in the east parts of Fort Dix.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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