Race, Diversity, and Ethnicity in Northeast Garland, Garland, TX

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

Northeast Garland, Garland, 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 Northeast Garland overall is hispanic, making up 44.7% of residents. The next most-common racial group is white at 31.1%. There are more hispanic people in the southwest areas of the neighborhood. People who identify as white are most likely to be living in the east 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 Northeast Garland

 
Self-Identified Race
Northeast Garland, Garland, TX Population
White
31.1%
Hispanic
44.7%
Black
11.6%
Asian
11.0%
Native American
0.2%
Other
1.4%
   

Diversity and Diversity Scores for Northeast Garland, Garland, TX

The map below shows diversity in Northeast Garland. 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 neighborhood would both be considered lacking diversity.

Northeast Garland, Garland, TX map of race and ethnicity
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More diverse Less diverse
Colorblind friendly off

Northeast Garland Diversity Score

90

With a diversity score of 90 out of 100, Northeast Garland is much more diverse than other US neighborhoods. The most diverse area within Northeast Garland's proper boundaries is to the east of the neighborhood. The least diverse areas are located in the south parts of Northeast Garland.

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

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