Race, Diversity, and Ethnicity in Leipsic, DE

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

Leipsic, DE map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Leipsic overall is white, making up 68.1% of residents. The next most-common racial group is black at 19.4%. There are more white people in the central areas of the city. People who identify as black 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 Leipsic
Race
Leipsic, DE Population
White
68.1%
Hispanic
7.4%
Black
19.4%
Asian
0.7%
Native American
0.0%
Other
4.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Leipsic, DE Population
White
68.1%
Hispanic
7.4%
Black
19.4%
Asian
0.7%
Native American
0.0%
Other
4.5%
   

Diversity and Diversity Scores for Leipsic, DE

The map below shows diversity in Leipsic. 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.

Leipsic, DE map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Leipsic Diversity Score

89

With a diversity score of 89 out of 100, Leipsic is much more diverse than other US cities. The most diverse area within Leipsic's proper boundaries is to the southwest of the city. The least diverse areas are located in the central parts of Leipsic.

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

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