Race, Diversity, and Ethnicity in Las Vegas, NM

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

Las Vegas, NM 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 Las Vegas overall is hispanic, making up 80.2% of residents. The next most-common racial group is white at 14.1%. There are more hispanic people in the south areas of the city. People who identify as white are most likely to be living in the southeast 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 Las Vegas
Race
Las Vegas, NM Population
White
14.1%
Hispanic
80.2%
Black
1.0%
Asian
1.1%
Native American
1.5%
Other
2.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Las Vegas, NM Population
White
14.1%
Hispanic
80.2%
Black
1.0%
Asian
1.1%
Native American
1.5%
Other
2.1%
   

Diversity and Diversity Scores for Las Vegas, NM

The map below shows diversity in Las Vegas. 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.

Las Vegas, NM map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Las Vegas Diversity Score

68

With a diversity score of 68 out of 100, Las Vegas is more diverse than other US cities. The most diverse area within Las Vegas's proper boundaries is to the central of the city. The least diverse areas are located in the south parts of Las Vegas.

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

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