The map below shows majority race by area in Half Mound, 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 Half Mound racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Half Mound overall is white, making up 94.6% of residents. The next most-common racial group is other at 4.4%. 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 northeast 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 Half Mound
Self-Identified Race |
Half Mound, KS Population |
|---|---|
White |
94.6% |
Hispanic |
1.0% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
4.4% |
Diversity and Diversity Scores for Half Mound, KS
The map below shows diversity in Half Mound. 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.
Half Mound Diversity Score
10.4
More diverse than 20% of US cities
Half Mound has a diversity score of 10.4: 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. Half Mound is less diverse than other US cities, more diverse than 20% of them. Within Half Mound's proper boundaries, the most diverse area is northeast Half Mound, and the least diverse areas are in north Half Mound.
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.