The map below shows majority race by area in Pearl River, 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 Pearl River racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Pearl River overall is white, making up 80.8% of residents. The next most-common racial group is hispanic at 8.3%. There are more white people in the northeast areas of the city. People who identify as hispanic 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 Pearl River
Self-Identified Race |
Pearl River, LA Population |
|---|---|
White |
80.8% |
Hispanic |
8.3% |
Black |
8.0% |
Asian |
0.4% |
Native American |
0.1% |
Other |
2.4% |
Diversity and Diversity Scores for Pearl River, LA
The map below shows diversity in Pearl River. 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.
Pearl River Diversity Score
33.3
More diverse than 65% of US cities
Pearl River 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. Pearl River is more diverse than other US cities, more diverse than 65% of them. Within Pearl River's proper boundaries, the most diverse area is south Pearl River, and the least diverse areas are in northeast Pearl River.
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.