Race, Diversity, and Ethnicity in Lea County, NM

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

Lea County, 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 Lea County overall is hispanic, making up 57.4% of residents. The next most-common racial group is white at 37.3%. There are more hispanic people in the southeast areas of the county. People who identify as white are most likely to be living in the northeast 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 Lea County
Race
Lea County, NM Population
White
37.3%
Hispanic
57.4%
Black
2.6%
Asian
0.6%
Native American
0.7%
Other
1.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Lea County, NM Population
White
37.3%
Hispanic
57.4%
Black
2.6%
Asian
0.6%
Native American
0.7%
Other
1.4%
   

Diversity and Diversity Scores for Lea County, NM

The map below shows diversity in Lea County. 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 county would both be considered lacking diversity.

Lea County, NM map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Lea County Diversity Score

77

With a diversity score of 77 out of 100, Lea County is more diverse than other US counties. The most diverse area within Lea County's proper boundaries is to the east of the county. The least diverse areas are located in the southeast parts of Lea County.

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

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