The map below shows majority race by area in South Plains, 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 South Plains racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in South Plains overall is white, making up 54.2% of residents. The next most-common racial group is hispanic at 39.3%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the east 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 South Plains
Self-Identified Race |
South Plains, TX Population |
|---|---|
White |
54.2% |
Hispanic |
39.3% |
Black |
0.6% |
Asian |
0.0% |
Native American |
2.8% |
Other |
3.1% |
Diversity and Diversity Scores for South Plains, TX
The map below shows diversity in South Plains. 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.
South Plains Diversity Score
55.0
More diverse than 89% of US cities
South Plains has a diversity score of 55.0: 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. South Plains is much more diverse than other US cities, more diverse than 89% of them. Within South Plains's proper boundaries, the most diverse area is east South Plains, and the least diverse areas are in north South Plains.
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.