The map below shows majority race by area in Puerto Rico, 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 Puerto Rico racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Puerto Rico overall is hispanic, making up 98.9% of residents. The next most-common racial group is white at 0.6%. There are more hispanic people in the south areas of the state. People who identify as white are most likely to be living in the northeast 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 Puerto Rico
Self-Identified Race |
Puerto Rico Population |
|---|---|
White |
0.6% |
Hispanic |
98.9% |
Black |
0.1% |
Asian |
0.1% |
Native American |
0.0% |
Other |
0.2% |
Diversity and Diversity Scores for Puerto Rico
The map below shows diversity in Puerto Rico. 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 state would both be considered lacking diversity.
Puerto Rico Diversity Score
2.1
More diverse than 0% of US states
Puerto Rico has a diversity score of 2.1: 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. Puerto Rico is much less diverse than other US states, more diverse than 0% of them. Within Puerto Rico's proper boundaries, the most diverse area is northeast Puerto Rico, and the least diverse areas are in south Puerto Rico.
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.