Race, Diversity, and Ethnicity in Woodland, CA

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

Woodland, CA 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 Woodland overall is hispanic, making up 47.4% of residents. The next most-common racial group is white at 38.5%. There are more hispanic people in the northeast areas of the city. People who identify as white 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 Woodland
Race
Woodland, CA Population
White
38.5%
Hispanic
47.4%
Black
1.7%
Asian
7.9%
Native American
0.6%
Other
3.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Woodland, CA Population
White
38.5%
Hispanic
47.4%
Black
1.7%
Asian
7.9%
Native American
0.6%
Other
3.9%
   

Diversity and Diversity Scores for Woodland, CA

The map below shows diversity in Woodland. 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.

Woodland, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Woodland Diversity Score

94

With a diversity score of 94 out of 100, Woodland is much more diverse than other US cities. The most diverse area within Woodland's proper boundaries is to the southeast of the city. The least diverse areas are located in the west parts of Woodland.

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

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