The map below shows majority race by area in Gilman City, 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 Gilman City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Gilman City overall is white, making up 79.7% of residents. The next most-common racial group is asian at 8.0%. There are more white people in the southeast 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 Gilman City
Self-Identified Race |
Gilman City, MO Population |
|---|---|
White |
79.7% |
Hispanic |
6.2% |
Black |
1.5% |
Asian |
8.0% |
Native American |
0.0% |
Other |
4.6% |
Diversity and Diversity Scores for Gilman City, MO
The map below shows diversity in Gilman City. 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.
Gilman City Diversity Score
35.3
More diverse than 68% of US cities
Gilman City has a diversity score of 35.3: 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. Gilman City is more diverse than other US cities, more diverse than 68% of them. Within Gilman City's proper boundaries, the most diverse area is central Gilman City, and the least diverse areas are in southeast Gilman City.
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.