The map below shows majority race by area in 87564, 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 87564 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 87564 overall is white, making up 76.4% of residents. The next most-common racial group is hispanic at 16.9%. There are more white people in the east areas of the zip. People who identify as hispanic are most likely to be living in the west 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 87564
Self-Identified Race |
87564, NM Population |
|---|---|
White |
76.4% |
Hispanic |
16.9% |
Black |
0.9% |
Asian |
3.1% |
Native American |
1.5% |
Other |
1.2% |
Diversity and Diversity Scores for 87564, NM
The map below shows diversity in 87564. 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 zip would both be considered lacking diversity.
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More diverse
Colorblind friendly
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87564 Diversity Score
38.6
More diverse than 62% of US zip codes
87564 has a diversity score of 38.6: 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. 87564 is more diverse than other US zip codes, more diverse than 62% of them. Within 87564's proper boundaries, the most diverse area is north 87564, and the least diverse areas are in east 87564.
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.