The map below shows majority race by area in Sandy Land, 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 Sandy Land racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Sandy Land overall is white, making up 64.4% of residents. The next most-common racial group is black at 29.7%. There are more white people in the east areas of the city. People who identify as black 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 Sandy Land
Self-Identified Race |
Sandy Land, AR Population |
|---|---|
White |
64.4% |
Hispanic |
1.6% |
Black |
29.7% |
Asian |
0.0% |
Native American |
0.0% |
Other |
4.3% |
Diversity and Diversity Scores for Sandy Land, AR
The map below shows diversity in Sandy Land. 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.
Sandy Land Diversity Score
49.5
More diverse than 83% of US cities
Sandy Land has a diversity score of 49.5: 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. Sandy Land is much more diverse than other US cities, more diverse than 83% of them. Within Sandy Land's proper boundaries, the most diverse area is south Sandy Land, and the least diverse areas are in east Sandy Land.
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.