The map below shows majority race by area in Rosa, 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 Rosa racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Rosa overall is black, making up 79.8% of residents. The next most-common racial group is white at 17.1%. There are more black people in the east areas of the city. People who identify as white are most likely to be living in the southwest 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 Rosa
Self-Identified Race |
Rosa, LA Population |
|---|---|
White |
17.1% |
Hispanic |
1.8% |
Black |
79.8% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.2% |
Diversity and Diversity Scores for Rosa, LA
The map below shows diversity in Rosa. 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.
Less diverse
More diverse
Colorblind friendly
off
Rosa Diversity Score
33.3
More diverse than 65% of US cities
Rosa has a diversity score of 33.3: 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. Rosa is more diverse than other US cities, more diverse than 65% of them. Within Rosa's proper boundaries, the most diverse area is central Rosa, and the least diverse areas are in southwest Rosa.
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.