The map below shows majority race by area in Harlem, 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 Harlem racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Harlem overall is native american, making up 63.7% of residents. The next most-common racial group is white at 29.0%. There are more native american people in the southeast areas of the city. People who identify as white are most likely to be living in the southwest 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 Harlem
Self-Identified Race |
Harlem, MT Population |
|---|---|
White |
29.0% |
Hispanic |
2.5% |
Black |
0.0% |
Asian |
0.2% |
Native American |
63.7% |
Other |
4.6% |
Diversity and Diversity Scores for Harlem, MT
The map below shows diversity in Harlem. 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.
Harlem Diversity Score
50.8
More diverse than 84% of US cities
Harlem has a diversity score of 50.8: 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. Harlem is much more diverse than other US cities, more diverse than 84% of them. Within Harlem's proper boundaries, the most diverse area is central Harlem, and the least diverse areas are in southeast Harlem.
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.