Race, Diversity, and Ethnicity in Tin City, NC

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

Tin City, NC 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 Tin City overall is white, making up 45.5% of residents. The next most-common racial group is black at 31.3%. There are more white people in the northeast areas of the city. People who identify as black are most likely to be living in the northwest 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 Tin City
Race
Tin City, NC Population
White
45.5%
Hispanic
21.5%
Black
31.3%
Asian
0.0%
Native American
0.0%
Other
1.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Tin City, NC Population
White
45.5%
Hispanic
21.5%
Black
31.3%
Asian
0.0%
Native American
0.0%
Other
1.7%
   

Diversity and Diversity Scores for Tin City, NC

The map below shows diversity in Tin City. 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.

Tin City, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Tin City Diversity Score

98

With a diversity score of 98 out of 100, Tin City is much more diverse than other US cities. The most diverse area within Tin City's proper boundaries is to the west of the city. The least diverse areas are located in the northeast parts of Tin City.

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

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