The map below shows majority race by area in Las Nutrias, 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 Nutrias racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Las Nutrias overall is hispanic, making up 49.5% of residents. The next most-common racial group is white at 30.2%. There are more hispanic people in the west areas of the city. People who identify as white are most likely to be living in the east 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 Nutrias
Self-Identified Race |
Las Nutrias, NM Population |
|---|---|
White |
30.2% |
Hispanic |
49.5% |
Black |
1.0% |
Asian |
4.4% |
Native American |
5.3% |
Other |
9.7% |
Diversity and Diversity Scores for Las Nutrias, NM
The map below shows diversity in Las Nutrias. 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 Nutrias Diversity Score
65.0
More diverse than 97% of US cities
Las Nutrias has a diversity score of 65.0: 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 Nutrias is much more diverse than other US cities, more diverse than 97% of them. Within Las Nutrias's proper boundaries, the most diverse area is east Las Nutrias, and the least diverse areas are in west Las Nutrias.
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.