The map below shows majority race by area in Keithville, 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 Keithville racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Keithville overall is white, making up 73.4% of residents. The next most-common racial group is black at 15.6%. 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 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 Keithville
Self-Identified Race |
Keithville, LA Population |
|---|---|
White |
73.4% |
Hispanic |
2.9% |
Black |
15.6% |
Asian |
0.1% |
Native American |
1.9% |
Other |
6.1% |
Diversity and Diversity Scores for Keithville, LA
The map below shows diversity in Keithville. 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.
Keithville Diversity Score
43.2
More diverse than 76% of US cities
Keithville has a diversity score of 43.2: 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. Keithville is more diverse than other US cities, more diverse than 76% of them. Within Keithville's proper boundaries, the most diverse area is northeast Keithville, and the least diverse areas are in south Keithville.
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.