The map below shows majority race by area in Grand Forks, 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 Grand Forks racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Grand Forks overall is white, making up 80.5% of residents. The next most-common racial group is other at 5.4%. There are more white people in the southeast areas of the city. People who identify as other are most likely to be living in the east 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 Grand Forks
Self-Identified Race |
Grand Forks, ND Population |
|---|---|
White |
80.5% |
Hispanic |
5.3% |
Black |
3.7% |
Asian |
3.2% |
Native American |
1.9% |
Other |
5.4% |
Diversity and Diversity Scores for Grand Forks, ND
The map below shows diversity in Grand Forks. 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.
Grand Forks Diversity Score
34.3
More diverse than 67% of US cities
Grand Forks has a diversity score of 34.3: 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. Grand Forks is more diverse than other US cities, more diverse than 67% of them. Within Grand Forks's proper boundaries, the most diverse area is south Grand Forks, and the least diverse areas are in southeast Grand Forks.
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.