The map below shows majority race by area in White Stone, 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 White Stone racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in White Stone overall is white, making up 45.9% of residents. The next most-common racial group is asian at 26.3%. There are more white people in the west areas of the city. People who identify as asian are most likely to be living in the south 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 White Stone
Self-Identified Race |
White Stone, TX Population |
|---|---|
White |
45.9% |
Hispanic |
16.0% |
Black |
6.9% |
Asian |
26.3% |
Native American |
0.1% |
Other |
4.9% |
Diversity and Diversity Scores for White Stone, TX
The map below shows diversity in White Stone. 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.
White Stone Diversity Score
68.8
More diverse than 99% of US cities
White Stone has a diversity score of 68.8: 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. White Stone is much more diverse than other US cities, more diverse than 99% of them. Within White Stone's proper boundaries, the most diverse area is south White Stone, and the least diverse areas are in west White Stone.
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.