Race, Diversity, and Ethnicity in Villa Prades, San Juan, PR

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

Villa Prades, San Juan, PR 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 Villa Prades overall is hispanic, making up 100.0% of residents. There are no other races identified in the neighborhood, meaning there is no racial diversity. There are more hispanic people in the central areas of the neighborhood. 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 Villa Prades
Race
Villa Prades, San Juan, PR Population
White
0.0%
Hispanic
100.0%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Villa Prades, San Juan, PR Population
White
0.0%
Hispanic
100.0%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Villa Prades, San Juan, PR

The map below shows diversity in Villa Prades. 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 neighborhood would both be considered lacking diversity.

Villa Prades, San Juan, PR map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Villa Prades Diversity Score

0

With a diversity score of 0 out of 100, Villa Prades is much less diverse than other US neighborhoods.

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

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