Demographics details for Winona, MS vs Fort payne, AL
Population Overview
Compare main population characteristics in Winona, MS vs Fort payne, AL.
| Data | Winona | Fort payne |
|---|---|---|
| Population | 4,159 | 14,879 |
| Median Age | 33.7 years | 39.7 years |
| Median Income | $26,250 | $44,549 |
| Married Families | 21.0% | 38.0% |
| Poverty Level | 24% | 11% |
| Unemployment Rate | 3.6 | 2.5 |
Population Comparison: Winona vs Fort payne
- The population in Fort payne is higher at 14,879, compared to 4,159 in Winona.
- The median age in Fort payne is higher at 39.7 years, compared to 33.7 years in Winona.
- Fort payne has a higher median income of $44,549, compared to $26,250 in Winona.
- In Fort payne, the percentage of married families is higher at 38.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 11% in Fort payne.
- The unemployment rate in Winona is higher at 3.6%, compared to 2.5% in Fort payne.
Demographics
Demographics Winona vs Fort payne provide insight into the diversity of the communities to compare.
| Demographic | Winona | Fort payne |
|---|---|---|
| Black | 62 | 2 |
| White | 38 | 72 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Winona vs Fort payne
- A higher percentage of Black residents are in Winona at 62% compared to 2% in Fort payne.
- The percentage of White residents is higher in Fort payne at 72% compared to 38% in Winona.
- Both Winona and Fort payne have the same percentage of Asian residents at 0%.
- Fort payne has a higher percentage of Hispanic residents at 20%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Fort payne at 4%, compared to 0% in Winona.
- In Fort payne, the percentage of American Indian residents is higher at 2%, compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Fort payne |
|---|---|---|
| Mental Health Not Good | 19.3% | 21.2% |
| Physical Health Not Good | 15.0% | 16.1% |
| Depression | 22.3% | 26.0% |
| Smoking | 24.8% | 23.3% |
| Binge Drinking | 11.8% | 14.3% |
| Obesity | 46.4% | 41.8% |
| Disability Percentage | 25.0% | 13.0% |
Health Statistics Comparison: Winona vs Fort payne
- In Fort payne, a higher percentage report poor mental health at 21.2% compared to 19.3% in Winona.
- Higher depression rates are seen in Fort payne at 26.0% versus 22.3% in Winona.
- Smoking is more prevalent in Winona at 24.8% compared to 23.3% in Fort payne.
- More residents engage in binge drinking in Fort payne at 14.3% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 41.8% in Fort payne.
- Disability percentages are higher in Winona at 25.0% compared to 13.0% in Fort payne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Fort payne |
|---|---|---|
| No Schooling | 2.1% (87) | 2.7% (402) |
| High School Diploma | 11.4% (473) | 14.2% (2,110) |
| Less than High School | 28.5% (1,186) | 27.9% (4,155) |
| Bachelor's Degree and Higher | 9.3% (388) | 11.9% (1,767) |
Education Levels Comparison: Winona vs Fort payne
- In Fort payne, a larger percentage of residents lack formal schooling at 2.7% compared to 2.1% in Winona.
- In Fort payne, the rate of residents with high school diplomas is higher at 14.2% compared to 11.4% in Winona.
- More residents in Winona have less than a high school education at 28.5% compared to 27.9% in Fort payne.
- In Fort payne, a larger share of residents have a bachelor's degree or higher at 11.9% 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.