The map below shows majority race by area in Montegut, 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 Montegut racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Montegut overall is white, making up 73.3% of residents. The next most-common racial group is native american at 14.7%. There are more white people in the northeast areas of the city. People who identify as native american are most likely to be living in the southeast 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 Montegut
Self-Identified Race |
Montegut, LA Population |
|---|---|
White |
73.3% |
Hispanic |
6.3% |
Black |
0.3% |
Asian |
0.4% |
Native American |
14.7% |
Other |
5.0% |
Diversity and Diversity Scores for Montegut, LA
The map below shows diversity in Montegut. 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.
Montegut Diversity Score
43.4
More diverse than 76% of US cities
Montegut has a diversity score of 43.4: 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. Montegut is more diverse than other US cities, more diverse than 76% of them. Within Montegut's proper boundaries, the most diverse area is southeast Montegut, and the least diverse areas are in northeast Montegut.
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.