The map below shows majority race by area in Castalia, 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 Castalia racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Castalia overall is white, making up 87.8% of residents. The next most-common racial group is hispanic at 8.4%. There are more white people in the southwest areas of the city. People who identify as hispanic are most likely to be living in the southeast 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 Castalia
Self-Identified Race |
Castalia, IA Population |
|---|---|
White |
87.8% |
Hispanic |
8.4% |
Black |
1.8% |
Asian |
0.1% |
Native American |
0.0% |
Other |
1.9% |
Diversity and Diversity Scores for Castalia, IA
The map below shows diversity in Castalia. 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.
Castalia Diversity Score
22.1
More diverse than 49% of US cities
Castalia has a diversity score of 22.1: 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. Castalia is about average for diversity versus other US cities, more diverse than 49% of them. Within Castalia's proper boundaries, the most diverse area is southeast Castalia, and the least diverse areas are in southwest Castalia.
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.