The map below shows majority race by area in Lavallette, 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 Lavallette racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Lavallette overall is white, making up 95.1% of residents. The next most-common racial group is hispanic at 3.0%. There are more white people in the north areas of the city. People who identify as hispanic 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 Lavallette
Self-Identified Race |
Lavallette, NJ Population |
|---|---|
White |
95.1% |
Hispanic |
3.0% |
Black |
0.0% |
Asian |
0.6% |
Native American |
0.0% |
Other |
1.2% |
Diversity and Diversity Scores for Lavallette, NJ
The map below shows diversity in Lavallette. 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.
Lavallette Diversity Score
9.4
More diverse than 17% of US cities
Lavallette has a diversity score of 9.4: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Lavallette is much less diverse than other US cities, more diverse than 17% of them. Within Lavallette's proper boundaries, the most diverse area is southwest Lavallette, and the least diverse areas are in north Lavallette.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.
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