The map below shows majority race by area in Burns Flat, 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 Burns Flat racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Burns Flat overall is white, making up 74.3% of residents. The next most-common racial group is hispanic at 13.0%. There are more white people in the northwest areas of the city. People who identify as hispanic 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 Burns Flat
Self-Identified Race |
Burns Flat, OK Population |
|---|---|
White |
74.3% |
Hispanic |
13.0% |
Black |
1.6% |
Asian |
0.5% |
Native American |
3.2% |
Other |
7.4% |
Diversity and Diversity Scores for Burns Flat, OK
The map below shows diversity in Burns Flat. 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.
Burns Flat Diversity Score
42.5
More diverse than 75% of US cities
Burns Flat has a diversity score of 42.5: 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. Burns Flat is more diverse than other US cities, more diverse than 75% of them. Within Burns Flat's proper boundaries, the most diverse area is central Burns Flat, and the least diverse areas are in northwest Burns Flat.
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.