The map below shows majority race by area in Forest Lakes, 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 Forest Lakes racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Forest Lakes overall is white, making up 94.0% of residents. The next most-common racial group is other at 2.8%. There are more white people in the west areas of the city. People who identify as other 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 Forest Lakes
Self-Identified Race |
Forest Lakes, AZ Population |
|---|---|
White |
94.0% |
Hispanic |
2.4% |
Black |
0.1% |
Asian |
0.2% |
Native American |
0.5% |
Other |
2.8% |
Diversity and Diversity Scores for Forest Lakes, AZ
The map below shows diversity in Forest Lakes. 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.
Forest Lakes Diversity Score
11.5
More diverse than 23% of US cities
Forest Lakes has a diversity score of 11.5: 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. Forest Lakes is less diverse than other US cities, more diverse than 23% of them. Within Forest Lakes's proper boundaries, the most diverse area is northeast Forest Lakes, and the least diverse areas are in west Forest Lakes.
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.