Demographics details for Eau claire, WI vs Stuttgart, AR

Population Overview

Compare main population characteristics in Eau claire, WI vs Stuttgart, AR.

Data Eau claire Stuttgart
Population 69,737 7,907
Median Age 32.8 years 37.8 years
Median Income $63,882 $59,124
Married Families 34.0% 39.0%
Poverty Level 10% 18%
Unemployment Rate 3.0 4.2

Population Comparison: Eau claire vs Stuttgart

  • In Eau claire, the population is higher at 69,737, compared to 7,907 in Stuttgart.
  • The median age in Stuttgart is higher at 37.8 years, compared to 32.8 years in Eau claire.
  • Eau claire has a higher median income of $63,882 compared to $59,124 in Stuttgart.
  • In Stuttgart, the percentage of married families is higher at 39.0%, compared to 34.0% in Eau claire.
  • The poverty level is higher in Stuttgart at 18%, compared to 10% in Eau claire.
  • Stuttgart has a higher unemployment rate at 4.2% compared to 3.0% in Eau claire.

Demographics

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

Demographic Eau claire Stuttgart
Black 1 42
White 86 53
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 Stuttgart

  • In Stuttgart, the percentage of Black residents is higher at 42% compared to 1% in Eau claire.
  • Eau claire has a higher percentage of White residents at 86% compared to 53% in Stuttgart.
  • The Asian population is larger in Eau claire at 6% compared to 0% in Stuttgart.
  • The Hispanic community is larger in Eau claire at 3% compared to 2% in Stuttgart.
  • More residents identify as two or more races in Eau claire at 4% compared to 3% in Stuttgart.
  • The percentage of American Indian residents is the same in both Eau claire and Stuttgart at 0%.

Health Statistics

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

Health Metric Eau claire Stuttgart
Mental Health Not Good 15.3% 19.8%
Physical Health Not Good 9.8% 14.6%
Depression 23.6% 24.4%
Smoking 15.2% 23.1%
Binge Drinking 24.8% 13.6%
Obesity 32.2% 39.7%
Disability Percentage 13.0% 20.0%

Health Statistics Comparison: Eau claire vs Stuttgart

  • In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 15.3% in Eau claire.
  • Higher depression rates are seen in Stuttgart at 24.4% versus 23.6% in Eau claire.
  • Stuttgart has a higher smoking rate at 23.1% compared to 15.2% in Eau claire.
  • Binge drinking is more common in Eau claire at 24.8% compared to 13.6% in Stuttgart.
  • Stuttgart has higher obesity rates at 39.7% compared to 32.2% in Eau claire.
  • There is a higher percentage of disabled individuals in Stuttgart at 20.0% 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 Stuttgart
No Schooling 0.5% (340) 0.8% (63)
High School Diploma 14.2% (9,934) 25.5% (2,015)
Less than High School 3.7% (2,573) 14.5% (1,144)
Bachelor's Degree and Higher 21.6% (15,073) 12.0% (948)

Education Levels Comparison: Eau claire vs Stuttgart

  • In Stuttgart, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Eau claire.
  • In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 14.2% in Eau claire.
  • The percentage of residents with less than a high school education is higher in Stuttgart at 14.5%, 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 12.0% in Stuttgart.

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.