The map below shows majority race by area in Eidson Road, 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 Eidson Road racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Eidson Road overall is hispanic, making up 99.8% of residents. The next most-common racial group is white at 0.2%. There are more hispanic people in the northeast areas of the city. People who identify as white 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 Eidson Road
Self-Identified Race |
Eidson Road, TX Population |
|---|---|
White |
0.2% |
Hispanic |
99.8% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Eidson Road, TX
The map below shows diversity in Eidson Road. 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.
Eidson Road Diversity Score
0.4
More diverse than 1% of US cities
Eidson Road has a diversity score of 0.4: 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. Eidson Road is much less diverse than other US cities, more diverse than 1% of them. Within Eidson Road's proper boundaries, the most diverse area is south Eidson Road, and the least diverse areas are in northeast Eidson Road.
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.