Race, Diversity, and Ethnicity in Unicorn, PA

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

Unicorn, PA 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 Unicorn overall is white, making up 90.5% of residents. The next most-common racial group is asian at 5.5%. There are more white people in the central areas of the city. People who identify as asian are most likely to be living in the central 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 Unicorn
Race
Unicorn, PA Population
White
90.5%
Hispanic
0.0%
Black
1.9%
Asian
5.5%
Native American
0.0%
Other
2.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Unicorn, PA Population
White
90.5%
Hispanic
0.0%
Black
1.9%
Asian
5.5%
Native American
0.0%
Other
2.1%
   

Diversity and Diversity Scores for Unicorn, PA

The map below shows diversity in Unicorn. 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.

Unicorn, PA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Unicorn Diversity Score

54

With a diversity score of 54 out of 100, Unicorn is about average for diversity versus other US cities. The most diverse area within Unicorn's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Unicorn.

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

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