Race, Diversity, and Ethnicity in Hachita, NM

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

Hachita, 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 Hachita overall is hispanic, making up 49.9% of residents. The next most-common racial group is white at 30.8%. 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 southeast 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 Hachita
Race
Hachita, NM Population
White
30.8%
Hispanic
49.9%
Black
0.2%
Asian
0.0%
Native American
1.5%
Other
17.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Hachita, NM Population
White
30.8%
Hispanic
49.9%
Black
0.2%
Asian
0.0%
Native American
1.5%
Other
17.6%
   

Diversity and Diversity Scores for Hachita, NM

The map below shows diversity in Hachita. 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.

Hachita, NM map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Hachita Diversity Score

96

With a diversity score of 96 out of 100, Hachita is much more diverse than other US cities. The most diverse area within Hachita's proper boundaries is to the north of the city. The least diverse areas are located in the northeast parts of Hachita.

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

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