Demographics details for Broken bow, NE vs Eau claire, WI
Population Overview
Compare main population characteristics in Broken bow, NE vs Eau claire, WI.
| Data | Broken bow | Eau claire |
|---|---|---|
| Population | 3,474 | 69,737 |
| Median Age | 41.4 years | 32.8 years |
| Median Income | $49,425 | $63,882 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Broken bow vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 3,474 in Broken bow.
- Residents in Broken bow have a higher median age of 41.4 years compared to 32.8 years in Eau claire.
- Eau claire has a higher median income of $63,882, compared to $49,425 in Broken bow.
- A higher percentage of married families is found in Broken bow at 40.0% compared to 34.0% in Eau claire.
- Broken bow has a higher poverty level at 11% compared to 10% in Eau claire.
- Eau claire has a higher unemployment rate at 3.0% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs Eau claire provide insight into the diversity of the communities to compare.
| Demographic | Broken bow | Eau claire |
|---|---|---|
| Black | 2 | 1 |
| White | 88 | 86 |
| Asian | Data is updating | 6 |
| Hispanic | 6 | 3 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs Eau claire
- A higher percentage of Black residents are in Broken bow at 2% compared to 1% in Eau claire.
- Broken bow has a higher percentage of White residents at 88% compared to 86% in Eau claire.
- In Eau claire, the Asian population stands at 6%, greater than 0% in Broken bow.
- The Hispanic community is larger in Broken bow at 6% compared to 3% in Eau claire.
- Both Broken bow and Eau claire 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 Broken bow and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken bow | Eau claire |
|---|---|---|
| Mental Health Not Good | 14.2% | 15.3% |
| Physical Health Not Good | 10.0% | 9.8% |
| Depression | 17.1% | 23.6% |
| Smoking | 16.3% | 15.2% |
| Binge Drinking | 20.7% | 24.8% |
| Obesity | 38.2% | 32.2% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Broken bow vs Eau claire
- In Eau claire, a higher percentage report poor mental health at 15.3% compared to 14.2% in Broken bow.
- Higher depression rates are seen in Eau claire at 23.6% versus 17.1% in Broken bow.
- Smoking is more prevalent in Broken bow at 16.3% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 20.7% in Broken bow.
- Obesity rates are higher in Broken bow at 38.2% compared to 32.2% in Eau claire.
- Disability percentages are higher in Broken bow at 19.0% 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 | Broken bow | Eau claire |
|---|---|---|
| No Schooling | 1.2% (42) | 0.5% (340) |
| High School Diploma | 19.8% (689) | 14.2% (9,934) |
| Less than High School | 7.3% (253) | 3.7% (2,573) |
| Bachelor's Degree and Higher | 14.7% (512) | 21.6% (15,073) |
Education Levels Comparison: Broken bow vs Eau claire
- A higher percentage of residents in Broken bow have no formal schooling at 1.2% compared to 0.5% in Eau claire.
- A higher percentage of residents in Broken bow hold a high school diploma at 19.8% compared to 14.2% in Eau claire.
- More residents in Broken bow have less than a high school education at 7.3% compared to 3.7% in Eau claire.
- In Eau claire, a larger share of residents have a bachelor's degree or higher at 21.6% compared to 14.7% in Broken bow.
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.