The map below shows majority race by area in South Brice, 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 Brice racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in South Brice overall is white, making up 75.4% of residents. The next most-common racial group is hispanic at 12.0%. 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 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 Brice
Self-Identified Race |
South Brice, TX Population |
|---|---|
White |
75.4% |
Hispanic |
12.0% |
Black |
0.5% |
Asian |
3.4% |
Native American |
0.5% |
Other |
8.1% |
Diversity and Diversity Scores for South Brice, TX
The map below shows diversity in South Brice. 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 Brice Diversity Score
40.9
More diverse than 74% of US cities
South Brice has a diversity score of 40.9: 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 Brice is more diverse than other US cities, more diverse than 74% of them. Within South Brice's proper boundaries, the most diverse area is east South Brice, and the least diverse areas are in northwest South Brice.
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.