The map below shows majority race by area in Juana Diaz, 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 Juana Diaz racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Juana Diaz overall is hispanic, making up 99.1% of residents. The next most-common racial group is black at 0.5%. There are more hispanic people in the north areas of the city. People who identify as black are most likely to be living in the east 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 Juana Diaz
Self-Identified Race |
Juana Diaz, PR Population |
|---|---|
White |
0.4% |
Hispanic |
99.1% |
Black |
0.5% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Juana Diaz, PR
The map below shows diversity in Juana Diaz. 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.
Juana Diaz Diversity Score
1.8
More diverse than 2% of US cities
Juana Diaz has a diversity score of 1.8: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Juana Diaz is much less diverse than other US cities, more diverse than 2% of them. Within Juana Diaz's proper boundaries, the most diverse area is east Juana Diaz, and the least diverse areas are in north Juana Diaz.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.