Race, Diversity, and Ethnicity in Song, Irving, TX

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

Song, Irving, 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 Song overall is black, making up 39.5% of residents. The next most-common racial group is asian at 21.0%. There are more black people in the south areas of the neighborhood. People who identify as asian 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 Song
Race
Song, Irving, TX Population
White
14.4%
Hispanic
16.3%
Black
39.5%
Asian
21.0%
Native American
0.7%
Other
8.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Song, Irving, TX Population
White
14.4%
Hispanic
16.3%
Black
39.5%
Asian
21.0%
Native American
0.7%
Other
8.2%
   

Diversity and Diversity Scores for Song, Irving, TX

The map below shows diversity in Song. 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.

Song, Irving, TX map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Song Diversity Score

97

With a diversity score of 97 out of 100, Song is much more diverse than other US neighborhoods. The most diverse area within Song's proper boundaries is to the southeast of the neighborhood. The least diverse areas are located in the northwest parts of Song.

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

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