Race, Diversity, and Ethnicity in Slate Mills, OH

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

Slate Mills, OH 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 Slate Mills overall is white, making up 95.3% of residents. The next most-common racial group is hispanic at 2.8%. 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 Slate Mills
Race
Slate Mills, OH Population
White
95.3%
Hispanic
2.8%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
1.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Slate Mills, OH Population
White
95.3%
Hispanic
2.8%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
1.9%
   

Diversity and Diversity Scores for Slate Mills, OH

The map below shows diversity in Slate Mills. 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.

Slate Mills, OH map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Slate Mills Diversity Score

15

With a diversity score of 15 out of 100, Slate Mills is much less diverse than other US cities. The most diverse area within Slate Mills's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Slate Mills.

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

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