The map below shows majority race by area in Lake Marcel-Stillwater, 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 Lake Marcel-Stillwater racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Lake Marcel-Stillwater overall is white, making up 84.1% of residents. The next most-common racial group is hispanic at 9.1%. There are more white people in the central areas of the city. People who identify as hispanic 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 Lake Marcel-Stillwater
Self-Identified Race |
Lake Marcel-Stillwater, WA Population |
|---|---|
White |
84.1% |
Hispanic |
9.1% |
Black |
0.0% |
Asian |
4.2% |
Native American |
1.0% |
Other |
1.5% |
Diversity and Diversity Scores for Lake Marcel-Stillwater, WA
The map below shows diversity in Lake Marcel-Stillwater. 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.
Lake Marcel-Stillwater Diversity Score
28.2
More diverse than 59% of US cities
Lake Marcel-Stillwater has a diversity score of 28.2: 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. Lake Marcel-Stillwater is about average for diversity versus other US cities, more diverse than 59% of them.
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.