Demographics details for Eau claire, WI vs Columbia, MO
Population Overview
Compare main population characteristics in Eau claire, WI vs Columbia, MO.
| Data | Eau claire | Columbia |
|---|---|---|
| Population | 69,737 | 128,555 |
| Median Age | 32.8 years | 28.8 years |
| Median Income | $63,882 | $60,455 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 10% | 19% |
| Unemployment Rate | 3.0 | 3.8 |
Population Comparison: Eau claire vs Columbia
- The population in Columbia is higher at 128,555, compared to 69,737 in Eau claire.
- Residents in Eau claire have a higher median age of 32.8 years compared to 28.8 years in Columbia.
- Eau claire has a higher median income of $63,882 compared to $60,455 in Columbia.
- A higher percentage of married families is found in Eau claire at 34.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 10% in Eau claire.
- Columbia has a higher unemployment rate at 3.8% compared to 3.0% in Eau claire.
Demographics
Demographics Eau claire vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Eau claire | Columbia |
|---|---|---|
| Black | 1 | 11 |
| White | 86 | 73 |
| Asian | 6 | 6 |
| Hispanic | 3 | 4 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eau claire vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 1% in Eau claire.
- Eau claire has a higher percentage of White residents at 86% compared to 73% in Columbia.
- Both Eau claire and Columbia have the same percentage of Asian residents at 6%.
- Columbia has a higher percentage of Hispanic residents at 4%, compared to 3% in Eau claire.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Eau claire and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eau claire | Columbia |
|---|---|---|
| Mental Health Not Good | 15.3% | 16.7% |
| Physical Health Not Good | 9.8% | 11.4% |
| Depression | 23.6% | 25.3% |
| Smoking | 15.2% | 16.3% |
| Binge Drinking | 24.8% | 17.7% |
| Obesity | 32.2% | 33.5% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Eau claire vs Columbia
- In Columbia, a higher percentage report poor mental health at 16.7% compared to 15.3% in Eau claire.
- Higher depression rates are seen in Columbia at 25.3% versus 23.6% in Eau claire.
- Columbia has a higher smoking rate at 16.3% compared to 15.2% in Eau claire.
- Binge drinking is more common in Eau claire at 24.8% compared to 17.7% in Columbia.
- Columbia has higher obesity rates at 33.5% compared to 32.2% in Eau claire.
- Disability percentages are higher in Eau claire at 13.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eau claire | Columbia |
|---|---|---|
| No Schooling | 0.5% (340) | 0.7% (845) |
| High School Diploma | 14.2% (9,934) | 7.8% (9,965) |
| Less than High School | 3.7% (2,573) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 21.6% (15,073) | 30.5% (39,270) |
Education Levels Comparison: Eau claire vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Eau claire.
- A higher percentage of residents in Eau claire hold a high school diploma at 14.2% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Columbia at 4.2%, compared to 3.7% in Eau claire.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 21.6% in Eau claire.
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.