Demographics details for Winona, MN vs Hickman, KY
Population Overview
Compare main population characteristics in Winona, MN vs Hickman, KY.
| Data | Winona | Hickman |
|---|---|---|
| Population | 25,842 | 4,422 |
| Median Age | 30.7 years | 46.6 years |
| Median Income | $52,500 | $68,589 |
| Married Families | 28.0% | 41.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.6 | 5.7 |
Population Comparison: Winona vs Hickman
- In Winona, the population is higher at 25,842, compared to 4,422 in Hickman.
- The median age in Hickman is higher at 46.6 years, compared to 30.7 years in Winona.
- Hickman has a higher median income of $68,589, compared to $52,500 in Winona.
- In Hickman, the percentage of married families is higher at 41.0%, compared to 28.0% in Winona.
- The poverty level is identical in both Winona and Hickman at 12%.
- Hickman has a higher unemployment rate at 5.7% compared to 3.6% in Winona.
Demographics
Demographics Winona vs Hickman provide insight into the diversity of the communities to compare.
| Demographic | Winona | Hickman |
|---|---|---|
| Black | 2 | 10 |
| White | 88 | 85 |
| Asian | 2 | Data is updating |
| Hispanic | 4 | 2 |
| Two or More Races | 3 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Winona vs Hickman
- In Hickman, the percentage of Black residents is higher at 10% compared to 2% in Winona.
- Winona has a higher percentage of White residents at 88% compared to 85% in Hickman.
- The Asian population is larger in Winona at 2% compared to 0% in Hickman.
- The Hispanic community is larger in Winona at 4% compared to 2% in Hickman.
- Both Winona and Hickman have the same percentage of residents identifying as two or more races at 3%.
- A greater percentage of American Indian residents live in Winona at 1% compared to 0% in Hickman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Hickman |
|---|---|---|
| Mental Health Not Good | 16.1% | 19.6% |
| Physical Health Not Good | 10.1% | 14.9% |
| Depression | 24.4% | 27.9% |
| Smoking | 18.5% | 23.5% |
| Binge Drinking | 19.8% | 14.4% |
| Obesity | 40.0% | 38.9% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Winona vs Hickman
- In Hickman, a higher percentage report poor mental health at 19.6% compared to 16.1% in Winona.
- Higher depression rates are seen in Hickman at 27.9% versus 24.4% in Winona.
- Hickman has a higher smoking rate at 23.5% compared to 18.5% in Winona.
- Binge drinking is more common in Winona at 19.8% compared to 14.4% in Hickman.
- Obesity rates are higher in Winona at 40.0% compared to 38.9% in Hickman.
- There is a higher percentage of disabled individuals in Hickman at 20.0% 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 | Hickman |
|---|---|---|
| No Schooling | 0.6% (144) | 0.2% (11) |
| High School Diploma | 14.2% (3,665) | 23.3% (1,029) |
| Less than High School | 7.1% (1,840) | 15.5% (685) |
| Bachelor's Degree and Higher | 19.8% (5,111) | 16.5% (728) |
Education Levels Comparison: Winona vs Hickman
- A higher percentage of residents in Winona have no formal schooling at 0.6% compared to 0.2% in Hickman.
- In Hickman, the rate of residents with high school diplomas is higher at 23.3% compared to 14.2% in Winona.
- The percentage of residents with less than a high school education is higher in Hickman at 15.5%, 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 16.5% in Hickman.
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.