The map below shows majority race by area in North Hobbs, 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 North Hobbs racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in North Hobbs overall is hispanic, making up 59.0% of residents. The next most-common racial group is white at 38.2%. 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 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 North Hobbs
Self-Identified Race |
North Hobbs, NM Population |
|---|---|
White |
38.2% |
Hispanic |
59.0% |
Black |
0.5% |
Asian |
0.4% |
Native American |
0.2% |
Other |
1.7% |
Diversity and Diversity Scores for North Hobbs, NM
The map below shows diversity in North Hobbs. 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.
North Hobbs Diversity Score
50.5
More diverse than 84% of US cities
North Hobbs has a diversity score of 50.5: 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. North Hobbs is much more diverse than other US cities, more diverse than 84% of them. Within North Hobbs's proper boundaries, the most diverse area is west North Hobbs, and the least diverse areas are in northeast North Hobbs.
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.