The map below shows majority race by area in Odds, 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 Odds racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Odds overall is white, making up 82.9% of residents. The next most-common racial group is other at 8.0%. There are more white people in the west areas of the city. People who identify as other are most likely to be living in the north 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 Odds
Self-Identified Race |
Odds, TX Population |
|---|---|
White |
82.9% |
Hispanic |
5.8% |
Black |
3.0% |
Asian |
0.3% |
Native American |
0.0% |
Other |
8.0% |
Diversity and Diversity Scores for Odds, TX
The map below shows diversity in Odds. 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.
Less diverse
More diverse
Colorblind friendly
off
Odds Diversity Score
30.1
More diverse than 62% of US cities
Odds has a diversity score of 30.1: 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. Odds is more diverse than other US cities, more diverse than 62% of them. Within Odds's proper boundaries, the most diverse area is north Odds, and the least diverse areas are in west Odds.
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.