Race, Diversity, and Ethnicity in 70772, LA

The map below shows majority race by area in 70772, 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 70772 racial diversity and diversity scores. Click here to scroll to diversity data.

70772, LA 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 70772 overall is white, making up 67.7% of residents. The next most-common racial group is black at 29.0%. There are more white people in the central areas of the zip. People who identify as black 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 70772
Race
70772, LA Population
White
67.7%
Hispanic
3.4%
Black
29.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
70772, LA Population
White
67.7%
Hispanic
3.4%
Black
29.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for 70772, LA

The map below shows diversity in 70772. 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.

70772, LA map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

70772 Diversity Score

64

With a diversity score of 64 out of 100, 70772 is more diverse than other US zip codes. The most diverse area within 70772's proper boundaries is to the central of the zip. The least diverse areas are located in the northeast parts of 70772.

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

Home Services