Race, Diversity, and Ethnicity in Serbin, TX

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

Serbin, 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 Serbin overall is white, making up 87.0% of residents. The next most-common racial group is hispanic at 8.4%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the northeast 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 Serbin
Race
Serbin, TX Population
White
87.0%
Hispanic
8.4%
Black
4.3%
Asian
0.0%
Native American
0.0%
Other
0.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Serbin, TX Population
White
87.0%
Hispanic
8.4%
Black
4.3%
Asian
0.0%
Native American
0.0%
Other
0.3%
   

Diversity and Diversity Scores for Serbin, TX

The map below shows diversity in Serbin. 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.

Serbin, TX map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Serbin Diversity Score

46

With a diversity score of 46 out of 100, Serbin is about average for diversity versus other US cities. The most diverse area within Serbin's proper boundaries is to the northeast of the city. The least diverse areas are located in the central parts of Serbin.

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

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