Race, Diversity, and Ethnicity in Davilla, TX

The map below shows majority race by area in Davilla, 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 Davilla racial diversity and diversity scores. Click here to scroll to diversity data.

Davilla, TX map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Davilla overall is white, making up 77.0% of residents. The next most-common racial group is hispanic at 15.3%. There are more white people in the northwest areas of the city. People who identify as hispanic are most likely to be living in the central 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 Davilla
Race
Davilla, TX Population
White
77.0%
Hispanic
15.3%
Black
2.7%
Asian
0.0%
Native American
0.0%
Other
5.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Davilla, TX Population
White
77.0%
Hispanic
15.3%
Black
2.7%
Asian
0.0%
Native American
0.0%
Other
5.0%
   

Diversity and Diversity Scores for Davilla, TX

The map below shows diversity in Davilla. 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.

Davilla, TX map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Davilla Diversity Score

78

With a diversity score of 78 out of 100, Davilla is more diverse than other US cities. The most diverse area within Davilla's proper boundaries is to the central of the city. The least diverse areas are located in the northwest parts of Davilla.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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