The map below shows majority race by area in Blue Rapids, 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 Blue Rapids racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Blue Rapids overall is white, making up 93.4% of residents. The next most-common racial group is hispanic at 4.4%. There are more white people in the central areas of the city. People who identify as hispanic 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 Blue Rapids
Self-Identified Race |
Blue Rapids, KS Population |
|---|---|
White |
93.4% |
Hispanic |
4.4% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.1% |
Other |
2.1% |
Diversity and Diversity Scores for Blue Rapids, KS
The map below shows diversity in Blue Rapids. 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.
Blue Rapids Diversity Score
12.5
More diverse than 26% of US cities
Blue Rapids has a diversity score of 12.5: 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. Blue Rapids is less diverse than other US cities, more diverse than 26% of them. Within Blue Rapids's proper boundaries, the most diverse area is northeast Blue Rapids, and the least diverse areas are in central Blue Rapids.
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.