Race, Diversity, and Ethnicity in Scotia, CA

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

Scotia, 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 Scotia overall is white, making up 77.8% of residents. The next most-common racial group is other at 12.2%. There are more white people in the south 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 Scotia
Race
Scotia, CA Population
White
77.8%
Hispanic
8.1%
Black
0.0%
Asian
0.0%
Native American
1.9%
Other
12.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Scotia, CA Population
White
77.8%
Hispanic
8.1%
Black
0.0%
Asian
0.0%
Native American
1.9%
Other
12.2%
   

Diversity and Diversity Scores for Scotia, CA

The map below shows diversity in Scotia. 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.

Scotia, CA map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Scotia Diversity Score

80

With a diversity score of 80 out of 100, Scotia is more diverse than other US cities. The most diverse area within Scotia's proper boundaries is to the south of the city. The least diverse areas are located in the central parts of Scotia.

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

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