Demographics details for Winona, MN vs Roaring spring, PA
Population Overview
Compare main population characteristics in Winona, MN vs Roaring spring, PA.
| Data | Winona | Roaring spring |
|---|---|---|
| Population | 25,842 | 2,333 |
| Median Age | 30.7 years | 36.1 years |
| Median Income | $52,500 | $63,194 |
| Married Families | 28.0% | 43.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.6 | 5.0 |
Population Comparison: Winona vs Roaring spring
- In Winona, the population is higher at 25,842, compared to 2,333 in Roaring spring.
- The median age in Roaring spring is higher at 36.1 years, compared to 30.7 years in Winona.
- Roaring spring has a higher median income of $63,194, compared to $52,500 in Winona.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 28.0% in Winona.
- Winona has a higher poverty level at 12% compared to 10% in Roaring spring.
- Roaring spring has a higher unemployment rate at 5.0% compared to 3.6% in Winona.
Demographics
Demographics Winona vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Winona | Roaring spring |
|---|---|---|
| Black | 2 | 1 |
| White | 88 | 91 |
| Asian | 2 | Data is updating |
| Hispanic | 4 | 3 |
| Two or More Races | 3 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Winona vs Roaring spring
- A higher percentage of Black residents are in Winona at 2% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 88% in Winona.
- The Asian population is larger in Winona at 2% compared to 0% in Roaring spring.
- The Hispanic community is larger in Winona at 4% compared to 3% in Roaring spring.
- The percentage of residents identifying as two or more races is higher in Roaring spring at 5%, compared to 3% in Winona.
- A greater percentage of American Indian residents live in Winona at 1% compared to 0% in Roaring spring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Roaring spring |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.2% |
| Physical Health Not Good | 10.1% | 12.2% |
| Depression | 24.4% | 25.5% |
| Smoking | 18.5% | 21.4% |
| Binge Drinking | 19.8% | 18.5% |
| Obesity | 40.0% | 34.7% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Winona vs Roaring spring
- In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 16.1% in Winona.
- Higher depression rates are seen in Roaring spring at 25.5% versus 24.4% in Winona.
- Roaring spring has a higher smoking rate at 21.4% compared to 18.5% in Winona.
- Binge drinking is more common in Winona at 19.8% compared to 18.5% in Roaring spring.
- Obesity rates are higher in Winona at 40.0% compared to 34.7% in Roaring spring.
- There is a higher percentage of disabled individuals in Roaring spring at 14.0% compared to 10.0% in Winona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Roaring spring |
|---|---|---|
| No Schooling | 0.6% (144) | 0.4% (9) |
| High School Diploma | 14.2% (3,665) | 25.9% (605) |
| Less than High School | 7.1% (1,840) | 7.2% (168) |
| Bachelor's Degree and Higher | 19.8% (5,111) | 13.5% (316) |
Education Levels Comparison: Winona vs Roaring spring
- A higher percentage of residents in Winona have no formal schooling at 0.6% compared to 0.4% in Roaring spring.
- In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 14.2% in Winona.
- The percentage of residents with less than a high school education is higher in Roaring spring at 7.2%, compared to 7.1% in Winona.
- A higher percentage of residents in Winona hold a bachelor's degree or higher at 19.8% compared to 13.5% in Roaring spring.
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.