Race, Diversity, and Ethnicity in 87566, NM

The map below shows majority race by area in 87566, 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 87566 racial diversity and diversity scores. Click here to scroll to diversity data.

87566, NM map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 87566 overall is hispanic, making up 62.8% of residents. The next most-common racial group is native american at 29.1%. There are more hispanic people in the north areas of the zip. People who identify as native american 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 87566
Race
87566, NM Population
White
6.2%
Hispanic
62.8%
Black
1.2%
Asian
0.1%
Native American
29.1%
Other
0.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
87566, NM Population
White
6.2%
Hispanic
62.8%
Black
1.2%
Asian
0.1%
Native American
29.1%
Other
0.6%
   

Diversity and Diversity Scores for 87566, NM

The map below shows diversity in 87566. 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.

87566, NM map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

87566 Diversity Score

60

With a diversity score of 60 out of 100, 87566 is about average for diversity versus other US zip codes. The most diverse area within 87566's proper boundaries is to the east of the zip. The least diverse areas are located in the northeast parts of 87566.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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