The map below shows majority race by area in Ah Gwah Ching, 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 Ah Gwah Ching racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Ah Gwah Ching overall is white, making up 90.7% of residents. The next most-common racial group is other at 5.9%. There are more white people in the east areas of the city. People who identify as other are most likely to be living in the south 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 Ah Gwah Ching
Self-Identified Race |
Ah Gwah Ching, MN Population |
|---|---|
White |
90.7% |
Hispanic |
1.2% |
Black |
0.1% |
Asian |
0.5% |
Native American |
1.6% |
Other |
5.9% |
Diversity and Diversity Scores for Ah Gwah Ching, MN
The map below shows diversity in Ah Gwah Ching. 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.
Ah Gwah Ching Diversity Score
17.4
More diverse than 39% of US cities
Ah Gwah Ching has a diversity score of 17.4: 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. Ah Gwah Ching is less diverse than other US cities, more diverse than 39% of them. Within Ah Gwah Ching's proper boundaries, the most diverse area is south Ah Gwah Ching, and the least diverse areas are in east Ah Gwah Ching.
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.