Race, Diversity, and Ethnicity in Goose Pond, NC

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

Goose Pond, 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 Goose Pond overall is black, making up 57.3% of residents. The next most-common racial group is white at 42.4%. There are more black people in the northwest areas of the city. People who identify as white are most likely to be living in the east 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 Goose Pond
Race
Goose Pond, NC Population
White
42.4%
Hispanic
0.1%
Black
57.3%
Asian
0.1%
Native American
0.0%
Other
0.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Goose Pond, NC Population
White
42.4%
Hispanic
0.1%
Black
57.3%
Asian
0.1%
Native American
0.0%
Other
0.2%
   

Diversity and Diversity Scores for Goose Pond, NC

The map below shows diversity in Goose Pond. 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.

Goose Pond, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Goose Pond Diversity Score

56

With a diversity score of 56 out of 100, Goose Pond is about average for diversity versus other US cities. The most diverse area within Goose Pond's proper boundaries is to the southeast of the city. The least diverse areas are located in the northwest parts of Goose Pond.

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

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