Demographics details for Winger, MN vs Wichita falls, TX
Population Overview
Compare main population characteristics in Winger, MN vs Wichita falls, TX.
| Data | Winger | Wichita falls |
|---|---|---|
| Population | 173 | 102,664 |
| Median Age | 48.8 years | 32.8 years |
| Median Income | $42,500 | $55,584 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 4.5 | 4.9 |
Population Comparison: Winger vs Wichita falls
- The population in Wichita falls is higher at 102,664, compared to 173 in Winger.
- Residents in Winger have a higher median age of 48.8 years compared to 32.8 years in Wichita falls.
- Wichita falls has a higher median income of $55,584, compared to $42,500 in Winger.
- A higher percentage of married families is found in Winger at 37.0% compared to 34.0% in Wichita falls.
- The poverty level is higher in Wichita falls at 14%, compared to 0% in Winger.
- Wichita falls has a higher unemployment rate at 4.9% compared to 4.5% in Winger.
Demographics
Demographics Winger vs Wichita falls provide insight into the diversity of the communities to compare.
| Demographic | Winger | Wichita falls |
|---|---|---|
| Black | Data is updating | 12 |
| White | 88 | 54 |
| Asian | 1 | 3 |
| Hispanic | Data is updating | 22 |
| Two or More Races | 10 | 8 |
| American Indian | 1 | 1 |
Demographics Comparison: Winger vs Wichita falls
- In Wichita falls, the percentage of Black residents is higher at 12% compared to 0% in Winger.
- Winger has a higher percentage of White residents at 88% compared to 54% in Wichita falls.
- In Wichita falls, the Asian population stands at 3%, greater than 1% in Winger.
- Wichita falls has a higher percentage of Hispanic residents at 22%, compared to 0% in Winger.
- More residents identify as two or more races in Winger at 10% compared to 8% in Wichita falls.
- The percentage of American Indian residents is the same in both Winger and Wichita falls at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winger | Wichita falls |
|---|---|---|
| Mental Health Not Good | 15.5% | 18.3% |
| Physical Health Not Good | 9.9% | 12.5% |
| Depression | 24.3% | 24.6% |
| Smoking | 19.8% | 18.6% |
| Binge Drinking | 21.9% | 18.7% |
| Obesity | 39.6% | 37.1% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Winger vs Wichita falls
- In Wichita falls, a higher percentage report poor mental health at 18.3% compared to 15.5% in Winger.
- Higher depression rates are seen in Wichita falls at 24.6% versus 24.3% in Winger.
- Smoking is more prevalent in Winger at 19.8% compared to 18.6% in Wichita falls.
- Binge drinking is more common in Winger at 21.9% compared to 18.7% in Wichita falls.
- Obesity rates are higher in Winger at 39.6% compared to 37.1% in Wichita falls.
- Disability percentages are higher in Winger at 16.0% compared to 13.0% in Wichita falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winger | Wichita falls |
|---|---|---|
| No Schooling | 2.3% (4) | 1.0% (1,035) |
| High School Diploma | 14.5% (25) | 15.1% (15,510) |
| Less than High School | 20.2% (35) | 14.6% (14,970) |
| Bachelor's Degree and Higher | 12.7% (22) | 15.1% (15,550) |
Education Levels Comparison: Winger vs Wichita falls
- A higher percentage of residents in Winger have no formal schooling at 2.3% compared to 1.0% in Wichita falls.
- In Wichita falls, the rate of residents with high school diplomas is higher at 15.1% compared to 14.5% in Winger.
- More residents in Winger have less than a high school education at 20.2% compared to 14.6% in Wichita falls.
- In Wichita falls, a larger share of residents have a bachelor's degree or higher at 15.1% compared to 12.7% in Winger.
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.