Demographics details for Winona lake, IN vs Snover, MI
Population Overview
Compare main population characteristics in Winona lake, IN vs Snover, MI.
| Data | Winona lake | Snover |
|---|---|---|
| Population | 5,106 | 260 |
| Median Age | 28.9 years | 51.5 years |
| Median Income | $77,305 | $44,948 |
| Married Families | 36.0% | 41.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Winona lake vs Snover
- In Winona lake, the population is higher at 5,106, compared to 260 in Snover.
- The median age in Snover is higher at 51.5 years, compared to 28.9 years in Winona lake.
- Winona lake has a higher median income of $77,305 compared to $44,948 in Snover.
- In Snover, the percentage of married families is higher at 41.0%, compared to 36.0% in Winona lake.
- The poverty level is higher in Snover at 9%, compared to 5% in Winona lake.
- Snover has a higher unemployment rate at 4.5% compared to 2.5% in Winona lake.
Demographics
Demographics Winona lake vs Snover provide insight into the diversity of the communities to compare.
| Demographic | Winona lake | Snover |
|---|---|---|
| Black | 1 | Data is updating |
| White | 79 | 97 |
| Asian | 1 | 3 |
| Hispanic | 14 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona lake vs Snover
- A higher percentage of Black residents are in Winona lake at 1% compared to 0% in Snover.
- The percentage of White residents is higher in Snover at 97% compared to 79% in Winona lake.
- In Snover, the Asian population stands at 3%, greater than 1% in Winona lake.
- The Hispanic community is larger in Winona lake at 14% compared to 0% in Snover.
- More residents identify as two or more races in Winona lake at 5% compared to 0% in Snover.
- The percentage of American Indian residents is the same in both Winona lake and Snover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona lake | Snover |
|---|---|---|
| Mental Health Not Good | 15.7% | 18.9% |
| Physical Health Not Good | 9.8% | 12.8% |
| Depression | 24.7% | 26.5% |
| Smoking | 16.3% | 22.9% |
| Binge Drinking | 18.1% | 17.4% |
| Obesity | 35.6% | 35.3% |
| Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Winona lake vs Snover
- In Snover, a higher percentage report poor mental health at 18.9% compared to 15.7% in Winona lake.
- Higher depression rates are seen in Snover at 26.5% versus 24.7% in Winona lake.
- Snover has a higher smoking rate at 22.9% compared to 16.3% in Winona lake.
- Binge drinking is more common in Winona lake at 18.1% compared to 17.4% in Snover.
- Obesity rates are higher in Winona lake at 35.6% compared to 35.3% in Snover.
- There is a higher percentage of disabled individuals in Snover at 17.0% compared to 8.0% in Winona lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona lake | Snover |
|---|---|---|
| No Schooling | 0.3% (17) | 0.0% (Data is updating) |
| High School Diploma | 9.5% (483) | 36.5% (95) |
| Less than High School | 4.0% (205) | 29.2% (76) |
| Bachelor's Degree and Higher | 32.4% (1,654) | 1.9% (5) |
Education Levels Comparison: Winona lake vs Snover
- A higher percentage of residents in Winona lake have no formal schooling at 0.3% compared to 0.0% in Snover.
- In Snover, the rate of residents with high school diplomas is higher at 36.5% compared to 9.5% in Winona lake.
- The percentage of residents with less than a high school education is higher in Snover at 29.2%, compared to 4.0% in Winona lake.
- A higher percentage of residents in Winona lake hold a bachelor's degree or higher at 32.4% compared to 1.9% in Snover.
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.