Demographics details for Winona, MS vs Willow street, PA
Population Overview
Compare main population characteristics in Winona, MS vs Willow street, PA.
| Data | Winona | Willow street |
|---|---|---|
| Population | 4,159 | 9,640 |
| Median Age | 33.7 years | 52.8 years |
| Median Income | $26,250 | $100,727 |
| Married Families | 21.0% | 53.0% |
| Poverty Level | 24% | 5% |
| Unemployment Rate | 3.6 | 3.2 |
Population Comparison: Winona vs Willow street
- The population in Willow street is higher at 9,640, compared to 4,159 in Winona.
- The median age in Willow street is higher at 52.8 years, compared to 33.7 years in Winona.
- Willow street has a higher median income of $100,727, compared to $26,250 in Winona.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 5% in Willow street.
- The unemployment rate in Winona is higher at 3.6%, compared to 3.2% in Willow street.
Demographics
Demographics Winona vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Winona | Willow street |
|---|---|---|
| Black | 62 | 2 |
| White | 38 | 81 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 7 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winona vs Willow street
- A higher percentage of Black residents are in Winona at 62% compared to 2% in Willow street.
- The percentage of White residents is higher in Willow street at 81% compared to 38% in Winona.
- In Willow street, the Asian population stands at 4%, greater than 0% in Winona.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 0% in Winona.
- In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Willow street |
|---|---|---|
| Mental Health Not Good | 19.3% | 14.8% |
| Physical Health Not Good | 15.0% | 9.7% |
| Depression | 22.3% | 22.3% |
| Smoking | 24.8% | 14.9% |
| Binge Drinking | 11.8% | 18.7% |
| Obesity | 46.4% | 32.9% |
| Disability Percentage | 25.0% | 17.0% |
Health Statistics Comparison: Winona vs Willow street
- More residents in Winona report poor mental health at 19.3% compared to 14.8% in Willow street.
- Both cities have comparable depression rates at 22.3%.
- Smoking is more prevalent in Winona at 24.8% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Willow street at 18.7% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 32.9% in Willow street.
- Disability percentages are higher in Winona at 25.0% compared to 17.0% in Willow street.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Willow street |
|---|---|---|
| No Schooling | 2.1% (87) | 0.3% (32) |
| High School Diploma | 11.4% (473) | 17.8% (1,717) |
| Less than High School | 28.5% (1,186) | 7.6% (734) |
| Bachelor's Degree and Higher | 9.3% (388) | 36.5% (3,517) |
Education Levels Comparison: Winona vs Willow street
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.3% in Willow street.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 11.4% in Winona.
- More residents in Winona have less than a high school education at 28.5% compared to 7.6% in Willow street.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% 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.