The map below shows majority race by area in Lake Norman of Catawba, 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 Lake Norman of Catawba racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Lake Norman of Catawba overall is white, making up 95.9% of residents. The next most-common racial group is black at 2.1%. There are more white people in the east 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 |
Lake Norman of Catawba, NC Population |
|---|---|
White |
95.9% |
Hispanic |
2.0% |
Black |
2.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Lake Norman of Catawba, NC Population |
|---|---|
White |
95.9% |
Hispanic |
2.0% |
Black |
2.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Lake Norman of Catawba, NC
The map below shows diversity in Lake Norman of Catawba. 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
Lake Norman of Catawba Diversity Score
15
With a diversity score of 15 out of 100, Lake Norman of Catawba is much less diverse than other US cities. The most diverse area within Lake Norman of Catawba's proper boundaries is to the northwest of the city. The least diverse areas are located in the east parts of Lake Norman of Catawba.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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