Race, Diversity, and Ethnicity in 88310, NM

The map below shows majority race by area in 88310, 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 88310 racial diversity and diversity scores. Click here to scroll to diversity data.

88310, NM map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 88310 overall is white, making up 54.6% of residents. The next most-common racial group is hispanic at 33.9%. There are more white people in the south 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 88310
Race
88310, NM Population
White
54.6%
Hispanic
33.9%
Black
4.8%
Asian
2.0%
Native American
0.7%
Other
3.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
88310, NM Population
White
54.6%
Hispanic
33.9%
Black
4.8%
Asian
2.0%
Native American
0.7%
Other
3.9%
   

Diversity and Diversity Scores for 88310, NM

The map below shows diversity in 88310. 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.

88310, NM map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

88310 Diversity Score

85

With a diversity score of 85 out of 100, 88310 is much more diverse than other US zip codes. The most diverse area within 88310's proper boundaries is to the central of the zip. The least diverse areas are located in the north parts of 88310.

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

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