Race, Diversity, and Ethnicity in Laubachs, PA

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

Laubachs, 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 Laubachs overall is white, making up 76.5% of residents. The next most-common racial group is other at 21.8%. There are more white people in the central areas of the city. People who identify as other 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 Laubachs
Race
Laubachs, PA Population
White
76.5%
Hispanic
1.7%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
21.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Laubachs, PA Population
White
76.5%
Hispanic
1.7%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
21.8%
   

Diversity and Diversity Scores for Laubachs, PA

The map below shows diversity in Laubachs. 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.

Laubachs, PA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Laubachs Diversity Score

66

With a diversity score of 66 out of 100, Laubachs is more diverse than other US cities. The most diverse area within Laubachs's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Laubachs.

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

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