Race, Diversity, and Ethnicity in New Roads, LA

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

New Roads, 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 New Roads overall is black, making up 56.0% of residents. The next most-common racial group is white at 40.3%. There are more black people in the north areas of the city. People who identify as white are most likely to be living in the southwest 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 New Roads
Race
New Roads, LA Population
White
40.3%
Hispanic
0.3%
Black
56.0%
Asian
2.1%
Native American
0.0%
Other
1.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
New Roads, LA Population
White
40.3%
Hispanic
0.3%
Black
56.0%
Asian
2.1%
Native American
0.0%
Other
1.3%
   

Diversity and Diversity Scores for New Roads, LA

The map below shows diversity in New Roads. 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.

New Roads, LA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

New Roads Diversity Score

78

With a diversity score of 78 out of 100, New Roads is more diverse than other US cities. The most diverse area within New Roads's proper boundaries is to the west of the city. The least diverse areas are located in the north parts of New Roads.

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

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