The map below shows majority race by area in Vega Baja, 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 Vega Baja racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Vega Baja overall is hispanic, making up 99.1% of residents. The next most-common racial group is white at 0.5%. There are more hispanic people in the southwest areas of the city. People who identify as white are most likely to be living in the south 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 Vega Baja
Self-Identified Race |
Vega Baja, PR Population |
|---|---|
White |
0.5% |
Hispanic |
99.1% |
Black |
0.2% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.2% |
Diversity and Diversity Scores for Vega Baja, PR
The map below shows diversity in Vega Baja. 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.
Vega Baja Diversity Score
1.8
More diverse than 2% of US cities
Vega Baja 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. Vega Baja is much less diverse than other US cities, more diverse than 2% of them. Within Vega Baja's proper boundaries, the most diverse area is southeast Vega Baja, and the least diverse areas are in southwest Vega Baja.
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.