Race, Diversity, and Ethnicity in Newman, CA

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

Newman, CA 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 Newman overall is hispanic, making up 68.0% of residents. The next most-common racial group is white at 26.3%. There are more hispanic people in the south areas of the city. People who identify as white are most likely to be living in the north 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 Newman
Race
Newman, CA Population
White
26.3%
Hispanic
68.0%
Black
0.5%
Asian
4.7%
Native American
0.0%
Other
0.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Newman, CA Population
White
26.3%
Hispanic
68.0%
Black
0.5%
Asian
4.7%
Native American
0.0%
Other
0.6%
   

Diversity and Diversity Scores for Newman, CA

The map below shows diversity in Newman. 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.

Newman, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Newman Diversity Score

79

With a diversity score of 79 out of 100, Newman is more diverse than other US cities. The most diverse area within Newman's proper boundaries is to the northwest of the city. The least diverse areas are located in the south parts of Newman.

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

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