Race, Diversity, and Ethnicity in Lilbert, TX

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

Lilbert, 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 Lilbert overall is white, making up 95.5% of residents. The next most-common racial group is black at 2.5%. There are more white people in the central areas of the city. People who identify as black are most likely to be living in the northwest 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 Lilbert
Race
Lilbert, TX Population
White
95.5%
Hispanic
1.2%
Black
2.5%
Asian
0.5%
Native American
0.1%
Other
0.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Lilbert, TX Population
White
95.5%
Hispanic
1.2%
Black
2.5%
Asian
0.5%
Native American
0.1%
Other
0.3%
   

Diversity and Diversity Scores for Lilbert, TX

The map below shows diversity in Lilbert. 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.

Lilbert, TX map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Lilbert Diversity Score

34

With a diversity score of 34 out of 100, Lilbert is less diverse than other US cities. The most diverse area within Lilbert's proper boundaries is to the northwest of the city. The least diverse areas are located in the central parts of Lilbert.

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

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