The map below shows majority race by area in 00979, 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 00979 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 00979 overall is hispanic, making up 94.9% of residents. The next most-common racial group is white at 3.2%. There are more hispanic people in the southeast areas of the zip. People who identify as white are most likely to be living in the north 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 00979
Self-Identified Race |
00979, PR Population |
|---|---|
White |
3.2% |
Hispanic |
94.9% |
Black |
0.3% |
Asian |
1.1% |
Native American |
0.0% |
Other |
0.5% |
Diversity and Diversity Scores for 00979, PR
The map below shows diversity in 00979. 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.
Less diverse
More diverse
Colorblind friendly
off
00979 Diversity Score
9.9
More diverse than 14% of US zip codes
00979 has a diversity score of 9.9: 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. 00979 is much less diverse than other US zip codes, more diverse than 14% of them. Within 00979's proper boundaries, the most diverse area is northwest 00979, and the least diverse areas are in southeast 00979.
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.