Race, Diversity, and Ethnicity in Glen Martin, CA

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

Glen Martin, 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 Glen Martin overall is white, making up 79.2% of residents. The next most-common racial group is hispanic at 12.2%. There are more white people in the southeast areas of the city. People who identify as hispanic are most likely to be living in the northeast 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 Glen Martin
Race
Glen Martin, CA Population
White
79.2%
Hispanic
12.2%
Black
2.2%
Asian
0.0%
Native American
0.1%
Other
6.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Glen Martin, CA Population
White
79.2%
Hispanic
12.2%
Black
2.2%
Asian
0.0%
Native American
0.1%
Other
6.4%
   

Diversity and Diversity Scores for Glen Martin, CA

The map below shows diversity in Glen Martin. 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.

Glen Martin, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Glen Martin Diversity Score

77

With a diversity score of 77 out of 100, Glen Martin is more diverse than other US cities. The most diverse area within Glen Martin's proper boundaries is to the northeast of the city. The least diverse areas are located in the southeast parts of Glen Martin.

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

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