Demographics details for Winona, MS vs Dayton, OH
Population Overview
Compare main population characteristics in Winona, MS vs Dayton, OH.
| Data | Winona | Dayton |
|---|---|---|
| Population | 4,159 | 135,944 |
| Median Age | 33.7 years | 34.0 years |
| Median Income | $26,250 | $41,443 |
| Married Families | 21.0% | 21.0% |
| Poverty Level | 24% | 18% |
| Unemployment Rate | 3.6 | 6.8 |
Population Comparison: Winona vs Dayton
- The population in Dayton is higher at 135,944, compared to 4,159 in Winona.
- The median age in Dayton is higher at 34.0 years, compared to 33.7 years in Winona.
- Dayton has a higher median income of $41,443, compared to $26,250 in Winona.
- The percentage of married families is the same in both Winona and Dayton at 21.0%.
- Winona has a higher poverty level at 24% compared to 18% in Dayton.
- Dayton has a higher unemployment rate at 6.8% compared to 3.6% in Winona.
Demographics
Demographics Winona vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Winona | Dayton |
|---|---|---|
| Black | 62 | 38 |
| White | 38 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Dayton
- A higher percentage of Black residents are in Winona at 62% compared to 38% in Dayton.
- The percentage of White residents is higher in Dayton at 50% compared to 38% in Winona.
- In Dayton, the Asian population stands at 1%, greater than 0% in Winona.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Dayton |
|---|---|---|
| Mental Health Not Good | 19.3% | 21.9% |
| Physical Health Not Good | 15.0% | 16.5% |
| Depression | 22.3% | 26.5% |
| Smoking | 24.8% | 26.0% |
| Binge Drinking | 11.8% | 15.2% |
| Obesity | 46.4% | 47.6% |
| Disability Percentage | 25.0% | 18.0% |
Health Statistics Comparison: Winona vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 19.3% in Winona.
- Higher depression rates are seen in Dayton at 26.5% versus 22.3% in Winona.
- Dayton has a higher smoking rate at 26.0% compared to 24.8% in Winona.
- More residents engage in binge drinking in Dayton at 15.2% compared to 11.8% in Winona.
- Dayton has higher obesity rates at 47.6% compared to 46.4% in Winona.
- Disability percentages are higher in Winona at 25.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Dayton |
|---|---|---|
| No Schooling | 2.1% (87) | 0.9% (1,157) |
| High School Diploma | 11.4% (473) | 16.3% (22,101) |
| Less than High School | 28.5% (1,186) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 9.3% (388) | 12.7% (17,260) |
Education Levels Comparison: Winona vs Dayton
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.9% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 11.4% in Winona.
- More residents in Winona have less than a high school education at 28.5% compared to 13.9% in Dayton.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 9.3% in Winona.
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.