Demographics details for Winger, MN vs Hardy, KY
Population Overview
Compare main population characteristics in Winger, MN vs Hardy, KY.
| Data | Winger | Hardy |
|---|---|---|
| Population | 173 | 129 |
| Median Age | 48.8 years | 40.0 years |
| Median Income | $42,500 | $40,000 |
| Married Families | 37.0% | 30.0% |
| Poverty Level | Data is updating | 20% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Winger vs Hardy
- In Winger, the population is higher at 173, compared to 129 in Hardy.
- Residents in Winger have a higher median age of 48.8 years compared to 40.0 years in Hardy.
- Winger has a higher median income of $42,500 compared to $40,000 in Hardy.
- A higher percentage of married families is found in Winger at 37.0% compared to 30.0% in Hardy.
- The poverty level is higher in Hardy at 20%, compared to 0% in Winger.
- Hardy has a higher unemployment rate at 5.0% compared to 4.5% in Winger.
Demographics
Demographics Winger vs Hardy provide insight into the diversity of the communities to compare.
| Demographic | Winger | Hardy |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 88 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Winger vs Hardy
- The percentage of Black residents is the same in both Winger and Hardy at 0%.
- The percentage of White residents is higher in Hardy at 100% compared to 88% in Winger.
- The Asian population is larger in Winger at 1% compared to 0% in Hardy.
- The percentage of Hispanic residents is the same in both Winger and Hardy at 0%.
- More residents identify as two or more races in Winger at 10% compared to 0% in Hardy.
- A greater percentage of American Indian residents live in Winger at 1% compared to 0% in Hardy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winger | Hardy |
|---|---|---|
| Mental Health Not Good | 15.5% | Data is updating% |
| Physical Health Not Good | 9.9% | Data is updating% |
| Depression | 24.3% | Data is updating% |
| Smoking | 19.8% | Data is updating% |
| Binge Drinking | 21.9% | Data is updating% |
| Obesity | 39.6% | Data is updating% |
| Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Winger vs Hardy
- More residents in Winger report poor mental health at 15.5% compared to 0.0% in Hardy.
- Depression is more prevalent in Winger at 24.3% compared to 0.0% in Hardy.
- Smoking is more prevalent in Winger at 19.8% compared to 0.0% in Hardy.
- Binge drinking is more common in Winger at 21.9% compared to 0.0% in Hardy.
- Obesity rates are higher in Winger at 39.6% compared to 0.0% in Hardy.
- Disability percentages are higher in Winger at 16.0% compared to 0.0% in Hardy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winger | Hardy |
|---|---|---|
| No Schooling | 2.3% (4) | 0.0% (Data is updating) |
| High School Diploma | 14.5% (25) | 0.0% (Data is updating) |
| Less than High School | 20.2% (35) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.7% (22) | 0.0% (Data is updating) |
Education Levels Comparison: Winger vs Hardy
- A higher percentage of residents in Winger have no formal schooling at 2.3% compared to 0.0% in Hardy.
- A higher percentage of residents in Winger hold a high school diploma at 14.5% compared to 0.0% in Hardy.
- More residents in Winger have less than a high school education at 20.2% compared to 0.0% in Hardy.
- A higher percentage of residents in Winger hold a bachelor's degree or higher at 12.7% compared to 0.0% in Hardy.
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.