The map below shows majority race by area in Masterson, 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 Masterson racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Masterson overall is white, making up 73.4% of residents. The next most-common racial group is hispanic at 19.8%. There are more white people in the southwest areas of the city. People who identify as hispanic are most likely to be living in the northwest 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 Masterson
Self-Identified Race |
Masterson, TX Population |
|---|---|
White |
73.4% |
Hispanic |
19.8% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
6.8% |
Diversity and Diversity Scores for Masterson, TX
The map below shows diversity in Masterson. 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.
Masterson Diversity Score
41.8
More diverse than 74% of US cities
Masterson has a diversity score of 41.8: 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. Masterson is more diverse than other US cities, more diverse than 74% of them. Within Masterson's proper boundaries, the most diverse area is north Masterson, and the least diverse areas are in southwest Masterson.
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.