The map below shows majority race by area in Las Cruces, 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 Cruces racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Las Cruces overall is white, making up 64.5% of residents. The next most-common racial group is hispanic at 31.9%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the central 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 Cruces
Self-Identified Race |
Las Cruces, CA Population |
|---|---|
White |
64.5% |
Hispanic |
31.9% |
Black |
0.6% |
Asian |
0.9% |
Native American |
0.1% |
Other |
1.9% |
Diversity and Diversity Scores for Las Cruces, CA
The map below shows diversity in Las Cruces. 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 Cruces Diversity Score
48.2
More diverse than 81% of US cities
Las Cruces has a diversity score of 48.2: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Las Cruces is much more diverse than other US cities, more diverse than 81% of them. Within Las Cruces's proper boundaries, the most diverse area is east Las Cruces, and the least diverse areas are in central Las Cruces.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.