Demographics details for Waterville, OH vs Winger, MN
Population Overview
Compare main population characteristics in Waterville, OH vs Winger, MN.
| Data | Waterville | Winger |
|---|---|---|
| Population | 6,013 | 173 |
| Median Age | 40.9 years | 48.8 years |
| Median Income | $101,473 | $42,500 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Waterville vs Winger
- In Waterville, the population is higher at 6,013, compared to 173 in Winger.
- The median age in Winger is higher at 48.8 years, compared to 40.9 years in Waterville.
- Waterville has a higher median income of $101,473 compared to $42,500 in Winger.
- A higher percentage of married families is found in Waterville at 44.0% compared to 37.0% in Winger.
- The poverty level is identical in both Waterville and Winger at 0%.
- Winger has a higher unemployment rate at 4.5% compared to 3.2% in Waterville.
Demographics
Demographics Waterville vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Waterville | Winger |
|---|---|---|
| Black | 1 | Data is updating |
| White | 79 | 88 |
| Asian | 2 | 1 |
| Hispanic | 8 | Data is updating |
| Two or More Races | 10 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterville vs Winger
- A higher percentage of Black residents are in Waterville at 1% compared to 0% in Winger.
- The percentage of White residents is higher in Winger at 88% compared to 79% in Waterville.
- The Asian population is larger in Waterville at 2% compared to 1% in Winger.
- The Hispanic community is larger in Waterville at 8% compared to 0% in Winger.
- Both Waterville and Winger have the same percentage of residents identifying as two or more races at 10%.
- In Winger, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterville | Winger |
|---|---|---|
| Mental Health Not Good | 14.8% | 15.5% |
| Physical Health Not Good | 8.1% | 9.9% |
| Depression | 22.5% | 24.3% |
| Smoking | 12.6% | 19.8% |
| Binge Drinking | 19.0% | 21.9% |
| Obesity | 33.8% | 39.6% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Waterville vs Winger
- In Winger, a higher percentage report poor mental health at 15.5% compared to 14.8% in Waterville.
- Higher depression rates are seen in Winger at 24.3% versus 22.5% in Waterville.
- Winger has a higher smoking rate at 19.8% compared to 12.6% in Waterville.
- More residents engage in binge drinking in Winger at 21.9% compared to 19.0% in Waterville.
- Winger has higher obesity rates at 39.6% compared to 33.8% in Waterville.
- There is a higher percentage of disabled individuals in Winger at 16.0% compared to 12.0% in Waterville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterville | Winger |
|---|---|---|
| No Schooling | 0.0% (3) | 2.3% (4) |
| High School Diploma | 15.4% (924) | 14.5% (25) |
| Less than High School | 4.4% (265) | 20.2% (35) |
| Bachelor's Degree and Higher | 33.1% (1,988) | 12.7% (22) |
Education Levels Comparison: Waterville vs Winger
- In Winger, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Waterville.
- A higher percentage of residents in Waterville hold a high school diploma at 15.4% compared to 14.5% in Winger.
- The percentage of residents with less than a high school education is higher in Winger at 20.2%, compared to 4.4% in Waterville.
- A higher percentage of residents in Waterville hold a bachelor's degree or higher at 33.1% compared to 12.7% in Winger.
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.