The map below shows majority race by area in Back Gate, 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 Back Gate racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Back Gate overall is white, making up 66.2% of residents. The next most-common racial group is black at 27.0%. There are more white people in the northwest 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 Back Gate
Self-Identified Race |
Back Gate, AR Population |
|---|---|
White |
66.2% |
Hispanic |
6.4% |
Black |
27.0% |
Asian |
0.0% |
Native American |
0.2% |
Other |
0.1% |
Diversity and Diversity Scores for Back Gate, AR
The map below shows diversity in Back Gate. 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.
Back Gate Diversity Score
48.5
More diverse than 82% of US cities
Back Gate has a diversity score of 48.5: 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. Back Gate is much more diverse than other US cities, more diverse than 82% of them. Within Back Gate's proper boundaries, the most diverse area is central Back Gate, and the least diverse areas are in northwest Back Gate.
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.