Race, Diversity, and Ethnicity in Parkwood, CA

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

Parkwood, 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 Parkwood overall is hispanic, making up 46.7% of residents. The next most-common racial group is white at 35.0%. There are more hispanic people in the northwest areas of the city. People who identify as white 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 Parkwood
Race
Parkwood, CA Population
White
35.0%
Hispanic
46.7%
Black
2.0%
Asian
1.5%
Native American
0.3%
Other
14.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Parkwood, CA Population
White
35.0%
Hispanic
46.7%
Black
2.0%
Asian
1.5%
Native American
0.3%
Other
14.5%
   

Diversity and Diversity Scores for Parkwood, CA

The map below shows diversity in Parkwood. 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.

Parkwood, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Parkwood Diversity Score

96

With a diversity score of 96 out of 100, Parkwood is much more diverse than other US cities. The most diverse area within Parkwood's proper boundaries is to the central of the city. The least diverse areas are located in the northwest parts of Parkwood.

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

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