The map below shows majority race by area in Warren City, 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 Warren City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Warren City overall is white, making up 70.6% of residents. The next most-common racial group is hispanic at 13.3%. 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 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 Warren City
Self-Identified Race |
Warren City, TX Population |
|---|---|
White |
70.6% |
Hispanic |
13.3% |
Black |
7.9% |
Asian |
0.1% |
Native American |
0.0% |
Other |
8.0% |
Diversity and Diversity Scores for Warren City, TX
The map below shows diversity in Warren City. 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.
Warren City Diversity Score
47.1
More diverse than 80% of US cities
Warren City has a diversity score of 47.1: 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. Warren City is much more diverse than other US cities, more diverse than 80% of them. Within Warren City's proper boundaries, the most diverse area is south Warren City, and the least diverse areas are in north Warren City.
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.