Race, Diversity, and Ethnicity in Arivaca, AZ

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

Arivaca, AZ 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 Arivaca overall is white, making up 73.6% of residents. The next most-common racial group is hispanic at 21.9%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the southwest 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 Arivaca
Race
Arivaca, AZ Population
White
73.6%
Hispanic
21.9%
Black
1.5%
Asian
0.0%
Native American
0.2%
Other
2.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Arivaca, AZ Population
White
73.6%
Hispanic
21.9%
Black
1.5%
Asian
0.0%
Native American
0.2%
Other
2.8%
   

Diversity and Diversity Scores for Arivaca, AZ

The map below shows diversity in Arivaca. 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.

Arivaca, AZ map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Arivaca Diversity Score

63

With a diversity score of 63 out of 100, Arivaca is more diverse than other US cities. The most diverse area within Arivaca's proper boundaries is to the central of the city. The least diverse areas are located in the southwest parts of Arivaca.

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

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