Race, Diversity, and Ethnicity in 00913, PR

The map below shows majority race by area in 00913, 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 00913 racial diversity and diversity scores. Click here to scroll to diversity data.

00913, 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 00913 overall is hispanic, making up 94.6% of residents. The next most-common racial group is white at 5.2%. There are more hispanic people in the south areas of the zip. People who identify as white are most likely to be living in the northwest 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 00913
Race
00913, PR Population
White
5.2%
Hispanic
94.6%
Black
0.0%
Asian
0.2%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
00913, PR Population
White
5.2%
Hispanic
94.6%
Black
0.0%
Asian
0.2%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for 00913, PR

The map below shows diversity in 00913. 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 zip would both be considered lacking diversity.

00913, PR map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

00913 Diversity Score

13

With a diversity score of 13 out of 100, 00913 is much less diverse than other US zip codes. The most diverse area within 00913's proper boundaries is to the northwest of the zip. The least diverse areas are located in the south parts of 00913.

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

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