The map below shows majority race by area in Howes Mill, 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 Howes Mill racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Howes Mill overall is white, making up 89.2% of residents. The next most-common racial group is other at 6.0%. There are more white people in the north areas of the city. People who identify as other are most likely to be living in the east 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 Howes Mill
Self-Identified Race |
Howes Mill, MO Population |
|---|---|
White |
89.2% |
Hispanic |
2.8% |
Black |
0.5% |
Asian |
0.2% |
Native American |
1.3% |
Other |
6.0% |
Diversity and Diversity Scores for Howes Mill, MO
The map below shows diversity in Howes Mill. 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.
Howes Mill Diversity Score
20.0
More diverse than 45% of US cities
Howes Mill has a diversity score of 20.0: 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. Howes Mill is about average for diversity versus other US cities, more diverse than 45% of them. Within Howes Mill's proper boundaries, the most diverse area is northeast Howes Mill, and the least diverse areas are in north Howes Mill.
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.