The map below shows majority race by area in Los Lunas, 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 Los Lunas racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Los Lunas overall is hispanic, making up 62.5% of residents. The next most-common racial group is white at 29.8%. There are more hispanic people in the northeast areas of the city. People who identify as white are most likely to be living in the south 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 Los Lunas
Self-Identified Race |
Los Lunas, NM Population |
|---|---|
White |
29.8% |
Hispanic |
62.5% |
Black |
1.1% |
Asian |
1.0% |
Native American |
3.2% |
Other |
2.5% |
Diversity and Diversity Scores for Los Lunas, NM
The map below shows diversity in Los Lunas. 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.
Los Lunas Diversity Score
51.9
More diverse than 86% of US cities
Los Lunas has a diversity score of 51.9: 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. Los Lunas is much more diverse than other US cities, more diverse than 86% of them. Within Los Lunas's proper boundaries, the most diverse area is northwest Los Lunas, and the least diverse areas are in northeast Los Lunas.
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.