The map below shows majority race by area in Brown Deer, 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 Brown Deer racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Brown Deer overall is white, making up 51.1% of residents. The next most-common racial group is black at 29.1%. There are more white people in the southwest areas of the city. People who identify as black are most likely to be living in the central 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 Brown Deer
Self-Identified Race |
Brown Deer, WI Population |
|---|---|
White |
51.1% |
Hispanic |
7.6% |
Black |
29.1% |
Asian |
7.2% |
Native American |
0.0% |
Other |
5.0% |
Diversity and Diversity Scores for Brown Deer, WI
The map below shows diversity in Brown Deer. 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.
Brown Deer Diversity Score
64.1
More diverse than 97% of US cities
Brown Deer has a diversity score of 64.1: 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. Brown Deer is much more diverse than other US cities, more diverse than 97% of them. Within Brown Deer's proper boundaries, the most diverse area is north Brown Deer, and the least diverse areas are in southwest Brown Deer.
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.