Race, Diversity, and Ethnicity in 77396, TX

The map below shows majority race by area in 77396, 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 77396 racial diversity and diversity scores. Click here to scroll to diversity data.

77396, TX map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 77396 overall is hispanic, making up 50.7% of residents. The next most-common racial group is black at 24.7%. There are more hispanic people in the north areas of the zip. People who identify as black are most likely to be living in the southeast 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 77396
Race
77396, TX Population
White
20.5%
Hispanic
50.7%
Black
24.7%
Asian
2.7%
Native American
0.4%
Other
1.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
77396, TX Population
White
20.5%
Hispanic
50.7%
Black
24.7%
Asian
2.7%
Native American
0.4%
Other
1.1%
   

Diversity and Diversity Scores for 77396, TX

The map below shows diversity in 77396. 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 zip would both be considered lacking diversity.

77396, TX map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

77396 Diversity Score

89

With a diversity score of 89 out of 100, 77396 is much more diverse than other US zip codes. The most diverse area within 77396's proper boundaries is to the east of the zip. The least diverse areas are located in the north parts of 77396.

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

Home Services