Race, Diversity, and Ethnicity in Pecwan, CA

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

Pecwan, CA 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 Pecwan overall is native american, making up 57.5% of residents. The next most-common racial group is white at 24.9%. There are more native american people in the central areas of the city. People who identify as white are most likely to be living in the south 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 Pecwan
Race
Pecwan, CA Population
White
24.9%
Hispanic
14.5%
Black
0.0%
Asian
0.0%
Native American
57.5%
Other
3.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Pecwan, CA Population
White
24.9%
Hispanic
14.5%
Black
0.0%
Asian
0.0%
Native American
57.5%
Other
3.1%
   

Diversity and Diversity Scores for Pecwan, CA

The map below shows diversity in Pecwan. 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.

Pecwan, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Pecwan Diversity Score

95

With a diversity score of 95 out of 100, Pecwan is much more diverse than other US cities. The most diverse area within Pecwan's proper boundaries is to the central of the city. The least diverse areas are located in the south parts of Pecwan.

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

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