Demographics details for Winger, MN vs Dodge city, KS
Population Overview
Compare main population characteristics in Winger, MN vs Dodge city, KS.
| Data | Winger | Dodge city |
|---|---|---|
| Population | 173 | 27,422 |
| Median Age | 48.8 years | 30.3 years |
| Median Income | $42,500 | $66,932 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Winger vs Dodge city
- The population in Dodge city is higher at 27,422, compared to 173 in Winger.
- Residents in Winger have a higher median age of 48.8 years compared to 30.3 years in Dodge city.
- Dodge city has a higher median income of $66,932, compared to $42,500 in Winger.
- A higher percentage of married families is found in Winger at 37.0% compared to 35.0% in Dodge city.
- The poverty level is higher in Dodge city at 12%, compared to 0% in Winger.
- The unemployment rate in Winger is higher at 4.5%, compared to 3.1% in Dodge city.
Demographics
Demographics Winger vs Dodge city provide insight into the diversity of the communities to compare.
| Demographic | Winger | Dodge city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 88 | 10 |
| Asian | 1 | 2 |
| Hispanic | Data is updating | 66 |
| Two or More Races | 10 | 18 |
| American Indian | 1 | 1 |
Demographics Comparison: Winger vs Dodge city
- In Dodge city, the percentage of Black residents is higher at 3% compared to 0% in Winger.
- Winger has a higher percentage of White residents at 88% compared to 10% in Dodge city.
- In Dodge city, the Asian population stands at 2%, greater than 1% in Winger.
- Dodge city has a higher percentage of Hispanic residents at 66%, compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Dodge city at 18%, compared to 10% in Winger.
- The percentage of American Indian residents is the same in both Winger and Dodge city at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winger | Dodge city |
|---|---|---|
| Mental Health Not Good | 15.5% | 15.9% |
| Physical Health Not Good | 9.9% | 12.8% |
| Depression | 24.3% | 17.8% |
| Smoking | 19.8% | 19.2% |
| Binge Drinking | 21.9% | 16.6% |
| Obesity | 39.6% | 44.7% |
| Disability Percentage | 16.0% | 10.0% |
Health Statistics Comparison: Winger vs Dodge city
- In Dodge city, a higher percentage report poor mental health at 15.9% compared to 15.5% in Winger.
- Depression is more prevalent in Winger at 24.3% compared to 17.8% in Dodge city.
- Smoking is more prevalent in Winger at 19.8% compared to 19.2% in Dodge city.
- Binge drinking is more common in Winger at 21.9% compared to 16.6% in Dodge city.
- Dodge city has higher obesity rates at 44.7% compared to 39.6% in Winger.
- Disability percentages are higher in Winger at 16.0% compared to 10.0% in Dodge city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winger | Dodge city |
|---|---|---|
| No Schooling | 2.3% (4) | 3.0% (817) |
| High School Diploma | 14.5% (25) | 13.2% (3,614) |
| Less than High School | 20.2% (35) | 28.2% (7,721) |
| Bachelor's Degree and Higher | 12.7% (22) | 11.0% (3,006) |
Education Levels Comparison: Winger vs Dodge city
- In Dodge city, a larger percentage of residents lack formal schooling at 3.0% compared to 2.3% in Winger.
- A higher percentage of residents in Winger hold a high school diploma at 14.5% compared to 13.2% in Dodge city.
- The percentage of residents with less than a high school education is higher in Dodge city at 28.2%, compared to 20.2% in Winger.
- A higher percentage of residents in Winger hold a bachelor's degree or higher at 12.7% compared to 11.0% in Dodge city.
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.