The map below shows majority race by area in Port Angeles, 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 Port Angeles racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Port Angeles overall is white, making up 82.0% of residents. The next most-common racial group is other at 7.1%. There are more white people in the east areas of the city. People who identify as other are most likely to be living in the west 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 Port Angeles
Self-Identified Race |
Port Angeles, WA Population |
|---|---|
White |
82.0% |
Hispanic |
6.9% |
Black |
0.6% |
Asian |
0.8% |
Native American |
2.6% |
Other |
7.1% |
Diversity and Diversity Scores for Port Angeles, WA
The map below shows diversity in Port Angeles. 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.
Port Angeles Diversity Score
31.6
More diverse than 63% of US cities
Port Angeles has a diversity score of 31.6: 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. Port Angeles is more diverse than other US cities, more diverse than 63% of them. Within Port Angeles's proper boundaries, the most diverse area is west Port Angeles, and the least diverse areas are in east Port Angeles.
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.