Race, Diversity, and Ethnicity in Sellwood-Moreland, Portland, OR

The map below shows majority race by area in Sellwood-Moreland, 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 Sellwood-Moreland racial diversity and diversity scores. Click here to scroll to diversity data.

Sellwood-Moreland, Portland, OR map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Sellwood-Moreland overall is white, making up 88.4% of residents. The next most-common racial group is hispanic at 6.1%. There are more white people in the southwest areas of the neighborhood. People who identify as hispanic are most likely to be living in the south 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 Sellwood-Moreland

 
Self-Identified Race
Sellwood-Moreland, Portland, OR Population
White
88.4%
Hispanic
6.1%
Black
0.4%
Asian
3.4%
Native American
0.2%
Other
1.5%
   

Diversity and Diversity Scores for Sellwood-Moreland, Portland, OR

The map below shows diversity in Sellwood-Moreland. 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 neighborhood would both be considered lacking diversity.

Sellwood-Moreland, Portland, OR map of race and ethnicity
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Colorblind friendly off

Sellwood-Moreland Diversity Score

8

With a diversity score of 8 out of 100, Sellwood-Moreland is much less diverse than other US neighborhoods. The most diverse area within Sellwood-Moreland's proper boundaries is to the west of the neighborhood. The least diverse areas are located in the southwest parts of Sellwood-Moreland.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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