Race, Diversity, and Ethnicity in Slaughter, LA

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

Slaughter, LA 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 Slaughter overall is white, making up 78.0% of residents. The next most-common racial group is black at 18.0%. There are more white people in the northwest areas of the city. People who identify as black 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 Slaughter
Race
Slaughter, LA Population
White
78.0%
Hispanic
0.7%
Black
18.0%
Asian
0.5%
Native American
1.0%
Other
1.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Slaughter, LA Population
White
78.0%
Hispanic
0.7%
Black
18.0%
Asian
0.5%
Native American
1.0%
Other
1.7%
   

Diversity and Diversity Scores for Slaughter, LA

The map below shows diversity in Slaughter. 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.

Slaughter, LA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Slaughter Diversity Score

64

With a diversity score of 64 out of 100, Slaughter is more diverse than other US cities. The most diverse area within Slaughter's proper boundaries is to the southeast of the city. The least diverse areas are located in the northeast parts of Slaughter.

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

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