The map below shows majority race by area in New Miner, 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 Miner racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in New Miner overall is white, making up 88.9% of residents. The next most-common racial group is other at 7.4%. There are more white people in the northwest areas of the city. People who identify as other are most likely to be living in the south 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 Miner
Self-Identified Race |
New Miner, WI Population |
|---|---|
White |
88.9% |
Hispanic |
1.5% |
Black |
0.9% |
Asian |
0.3% |
Native American |
1.0% |
Other |
7.4% |
Diversity and Diversity Scores for New Miner, WI
The map below shows diversity in New Miner. 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 Miner Diversity Score
20.4
More diverse than 46% of US cities
New Miner has a diversity score of 20.4: 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. New Miner is about average for diversity versus other US cities, more diverse than 46% of them. Within New Miner's proper boundaries, the most diverse area is south New Miner, and the least diverse areas are in northwest New Miner.
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.