The map below shows majority race by area in Catholic Point, 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 Catholic Point racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Catholic Point overall is white, making up 88.1% of residents. The next most-common racial group is black at 7.5%. There are more white people in the central areas of the city. People who identify as black are most likely to be living in the central 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 Catholic Point
Self-Identified Race |
Catholic Point, AR Population |
|---|---|
White |
88.1% |
Hispanic |
0.0% |
Black |
7.5% |
Asian |
0.0% |
Native American |
0.0% |
Other |
4.5% |
Diversity and Diversity Scores for Catholic Point, AR
The map below shows diversity in Catholic Point. 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
Catholic Point Diversity Score
21.7
More diverse than 49% of US cities
Catholic Point has a diversity score of 21.7: 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. Catholic Point is about average for diversity versus other US cities, more diverse than 49% of them.
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.