Demographics details for Eau claire, WI vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Eau claire, WI vs Melbourne beach, FL.
| Data | Eau claire | Melbourne beach |
|---|---|---|
| Population | 69,737 | 3,242 |
| Median Age | 32.8 years | 53.5 years |
| Median Income | $63,882 | $80,795 |
| Married Families | 34.0% | 50.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Eau claire vs Melbourne beach
- In Eau claire, the population is higher at 69,737, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 32.8 years in Eau claire.
- Melbourne beach has a higher median income of $80,795, compared to $63,882 in Eau claire.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 34.0% in Eau claire.
- Eau claire has a higher poverty level at 10% compared to 8% in Melbourne beach.
- Melbourne beach has a higher unemployment rate at 4.5% compared to 3.0% in Eau claire.
Demographics
Demographics Eau claire vs Melbourne beach provide insight into the diversity of the communities to compare.
| Demographic | Eau claire | Melbourne beach |
|---|---|---|
| Black | 1 | Data is updating |
| White | 86 | 86 |
| Asian | 6 | 1 |
| Hispanic | 3 | 9 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eau claire vs Melbourne beach
- A higher percentage of Black residents are in Eau claire at 1% compared to 0% in Melbourne beach.
- The percentage of White residents is the same in both Eau claire and Melbourne beach at 86%.
- The Asian population is larger in Eau claire at 6% compared to 1% in Melbourne beach.
- Melbourne beach has a higher percentage of Hispanic residents at 9%, compared to 3% in Eau claire.
- Both Eau claire and Melbourne beach have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Eau claire and Melbourne beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eau claire | Melbourne beach |
|---|---|---|
| Mental Health Not Good | 15.3% | 14.2% |
| Physical Health Not Good | 9.8% | 8.2% |
| Depression | 23.6% | 19.2% |
| Smoking | 15.2% | 13.6% |
| Binge Drinking | 24.8% | 18.2% |
| Obesity | 32.2% | 28.6% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Eau claire vs Melbourne beach
- More residents in Eau claire report poor mental health at 15.3% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Eau claire at 23.6% compared to 19.2% in Melbourne beach.
- Smoking is more prevalent in Eau claire at 15.2% compared to 13.6% in Melbourne beach.
- Binge drinking is more common in Eau claire at 24.8% compared to 18.2% in Melbourne beach.
- Obesity rates are higher in Eau claire at 32.2% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Melbourne beach at 14.0% 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 | Melbourne beach |
|---|---|---|
| No Schooling | 0.5% (340) | 0.7% (22) |
| High School Diploma | 14.2% (9,934) | 8.5% (275) |
| Less than High School | 3.7% (2,573) | 3.3% (108) |
| Bachelor's Degree and Higher | 21.6% (15,073) | 49.8% (1,616) |
Education Levels Comparison: Eau claire vs Melbourne beach
- In Melbourne beach, 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 8.5% in Melbourne beach.
- More residents in Eau claire have less than a high school education at 3.7% compared to 3.3% in Melbourne beach.
- In Melbourne beach, a larger share of residents have a bachelor's degree or higher at 49.8% 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.