The map below shows majority race by area in Free Trade, 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 Free Trade racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Free Trade overall is white, making up 74.6% of residents. The next most-common racial group is black at 18.9%. There are more white people in the south areas of the city. People who identify as black are most likely to be living in the northeast 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 Free Trade
Self-Identified Race |
Free Trade, MS Population |
|---|---|
White |
74.6% |
Hispanic |
0.4% |
Black |
18.9% |
Asian |
0.0% |
Native American |
6.1% |
Other |
0.1% |
Diversity and Diversity Scores for Free Trade, MS
The map below shows diversity in Free Trade. 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.
Free Trade Diversity Score
40.5
More diverse than 73% of US cities
Free Trade has a diversity score of 40.5: 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. Free Trade is more diverse than other US cities, more diverse than 73% of them. Within Free Trade's proper boundaries, the most diverse area is west Free Trade, and the least diverse areas are in south Free Trade.
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.