Race, Diversity, and Ethnicity in Rogerson, ID

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

Rogerson, ID 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 Rogerson overall is white, making up 63.5% of residents. The next most-common racial group is hispanic at 34.7%. There are more white people in the southwest 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 Rogerson
Race
Rogerson, ID Population
White
63.5%
Hispanic
34.7%
Black
0.0%
Asian
0.1%
Native American
0.6%
Other
1.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Rogerson, ID Population
White
63.5%
Hispanic
34.7%
Black
0.0%
Asian
0.1%
Native American
0.6%
Other
1.1%
   

Diversity and Diversity Scores for Rogerson, ID

The map below shows diversity in Rogerson. 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.

Rogerson, ID map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Rogerson Diversity Score

76

With a diversity score of 76 out of 100, Rogerson is more diverse than other US cities. The most diverse area within Rogerson's proper boundaries is to the central of the city. The least diverse areas are located in the southwest parts of Rogerson.

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

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