Demographics details for Eau claire, WI vs Columbiana, OH

Population Overview

Compare main population characteristics in Eau claire, WI vs Columbiana, OH.

Data Eau claire Columbiana
Population 69,737 100,511
Median Age 32.8 years 44.5 years
Median Income $63,882 $55,473
Married Families 34.0% 40.0%
Poverty Level 10% 10%
Unemployment Rate 3.0 5.8

Population Comparison: Eau claire vs Columbiana

  • The population in Columbiana is higher at 100,511, compared to 69,737 in Eau claire.
  • The median age in Columbiana is higher at 44.5 years, compared to 32.8 years in Eau claire.
  • Eau claire has a higher median income of $63,882 compared to $55,473 in Columbiana.
  • In Columbiana, the percentage of married families is higher at 40.0%, compared to 34.0% in Eau claire.
  • The poverty level is identical in both Eau claire and Columbiana at 10%.
  • Columbiana has a higher unemployment rate at 5.8% compared to 3.0% in Eau claire.

Demographics

Demographics Eau claire vs Columbiana provide insight into the diversity of the communities to compare.

Demographic Eau claire Columbiana
Black 1 2
White 86 93
Asian 6 Data is updating
Hispanic 3 2
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: Eau claire vs Columbiana

  • In Columbiana, the percentage of Black residents is higher at 2% compared to 1% in Eau claire.
  • The percentage of White residents is higher in Columbiana at 93% compared to 86% in Eau claire.
  • The Asian population is larger in Eau claire at 6% compared to 0% in Columbiana.
  • The Hispanic community is larger in Eau claire at 3% compared to 2% in Columbiana.
  • More residents identify as two or more races in Eau claire at 4% compared to 3% in Columbiana.
  • The percentage of American Indian residents is the same in both Eau claire and Columbiana at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Eau claire Columbiana
Mental Health Not Good 15.3% 18.4%
Physical Health Not Good 9.8% 12.5%
Depression 23.6% 23.8%
Smoking 15.2% 22.5%
Binge Drinking 24.8% 17.6%
Obesity 32.2% 45.3%
Disability Percentage 13.0% 17.0%

Health Statistics Comparison: Eau claire vs Columbiana

  • In Columbiana, a higher percentage report poor mental health at 18.4% compared to 15.3% in Eau claire.
  • Higher depression rates are seen in Columbiana at 23.8% versus 23.6% in Eau claire.
  • Columbiana has a higher smoking rate at 22.5% compared to 15.2% in Eau claire.
  • Binge drinking is more common in Eau claire at 24.8% compared to 17.6% in Columbiana.
  • Columbiana has higher obesity rates at 45.3% compared to 32.2% in Eau claire.
  • There is a higher percentage of disabled individuals in Columbiana at 17.0% compared to 13.0% in Eau claire.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Eau claire Columbiana
No Schooling 0.5% (340) 1.0% (1,010)
High School Diploma 14.2% (9,934) 29.8% (29,903)
Less than High School 3.7% (2,573) 14.3% (14,400)
Bachelor's Degree and Higher 21.6% (15,073) 12.1% (12,129)

Education Levels Comparison: Eau claire vs Columbiana

  • In Columbiana, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Eau claire.
  • In Columbiana, the rate of residents with high school diplomas is higher at 29.8% compared to 14.2% in Eau claire.
  • The percentage of residents with less than a high school education is higher in Columbiana at 14.3%, compared to 3.7% in Eau claire.
  • A higher percentage of residents in Eau claire hold a bachelor's degree or higher at 21.6% compared to 12.1% in Columbiana.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.