Race, Diversity, and Ethnicity in Kalgary, TX

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

Kalgary, 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 Kalgary overall is white, making up 56.4% of residents. The next most-common racial group is black at 14.7%. 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 southwest 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 Kalgary
Race
Kalgary, TX Population
White
56.4%
Hispanic
12.9%
Black
14.7%
Asian
4.9%
Native American
0.3%
Other
10.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Kalgary, TX Population
White
56.4%
Hispanic
12.9%
Black
14.7%
Asian
4.9%
Native American
0.3%
Other
10.9%
   

Diversity and Diversity Scores for Kalgary, TX

The map below shows diversity in Kalgary. 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.

Kalgary, TX map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Kalgary Diversity Score

99

With a diversity score of 99 out of 100, Kalgary is much more diverse than other US cities. The most diverse area within Kalgary's proper boundaries is to the central of the city. The least diverse areas are located in the southwest parts of Kalgary.

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

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