The map below shows majority race by area in New Harmony, 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 Harmony racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in New Harmony overall is white, making up 84.0% of residents. The next most-common racial group is asian at 5.3%. There are more white people in the east areas of the city. People who identify as asian are most likely to be living in the central 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 Harmony
Self-Identified Race |
New Harmony, FL Population |
|---|---|
White |
84.0% |
Hispanic |
2.5% |
Black |
2.0% |
Asian |
5.3% |
Native American |
1.6% |
Other |
4.5% |
Diversity and Diversity Scores for New Harmony, FL
The map below shows diversity in New Harmony. 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 Harmony Diversity Score
28.8
More diverse than 60% of US cities
New Harmony has a diversity score of 28.8: 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. New Harmony is about average for diversity versus other US cities, more diverse than 60% of them. Within New Harmony's proper boundaries, the most diverse area is north New Harmony, and the least diverse areas are in east New Harmony.
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.