The map below shows majority race by area in Marked Tree, 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 Marked Tree racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Marked Tree overall is white, making up 66.7% of residents. The next most-common racial group is black at 17.5%. There are more white people in the southwest areas of the city. People who identify as black are most likely to be living in the east 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 Marked Tree
Self-Identified Race |
Marked Tree, AR Population |
|---|---|
White |
66.7% |
Hispanic |
8.8% |
Black |
17.5% |
Asian |
0.1% |
Native American |
2.4% |
Other |
4.5% |
Diversity and Diversity Scores for Marked Tree, AR
The map below shows diversity in Marked Tree. 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.
Marked Tree Diversity Score
51.4
More diverse than 85% of US cities
Marked Tree has a diversity score of 51.4: 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. Marked Tree is much more diverse than other US cities, more diverse than 85% of them. Within Marked Tree's proper boundaries, the most diverse area is east Marked Tree, and the least diverse areas are in southwest Marked Tree.
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.