Demographics details for Dassel, MN vs Wichita falls, TX
Population Overview
Compare main population characteristics in Dassel, MN vs Wichita falls, TX.
| Data | Dassel | Wichita falls |
|---|---|---|
| Population | 1,483 | 102,664 |
| Median Age | 43.7 years | 32.8 years |
| Median Income | $58,958 | $55,584 |
| Married Families | 33.0% | 34.0% |
| Poverty Level | 9% | 14% |
| Unemployment Rate | 3.5 | 4.9 |
Population Comparison: Dassel vs Wichita falls
- The population in Wichita falls is higher at 102,664, compared to 1,483 in Dassel.
- Residents in Dassel have a higher median age of 43.7 years compared to 32.8 years in Wichita falls.
- Dassel has a higher median income of $58,958 compared to $55,584 in Wichita falls.
- In Wichita falls, the percentage of married families is higher at 34.0%, compared to 33.0% in Dassel.
- The poverty level is higher in Wichita falls at 14%, compared to 9% in Dassel.
- Wichita falls has a higher unemployment rate at 4.9% compared to 3.5% in Dassel.
Demographics
Demographics Dassel vs Wichita falls provide insight into the diversity of the communities to compare.
| Demographic | Dassel | Wichita falls |
|---|---|---|
| Black | Data is updating | 12 |
| White | 95 | 54 |
| Asian | 1 | 3 |
| Hispanic | 1 | 22 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Dassel vs Wichita falls
- In Wichita falls, the percentage of Black residents is higher at 12% compared to 0% in Dassel.
- Dassel has a higher percentage of White residents at 95% compared to 54% in Wichita falls.
- In Wichita falls, the Asian population stands at 3%, greater than 1% in Dassel.
- Wichita falls has a higher percentage of Hispanic residents at 22%, compared to 1% in Dassel.
- The percentage of residents identifying as two or more races is higher in Wichita falls at 8%, compared to 3% in Dassel.
- In Wichita falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Dassel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dassel | Wichita falls |
|---|---|---|
| Mental Health Not Good | 14.6% | 18.3% |
| Physical Health Not Good | 8.8% | 12.5% |
| Depression | 23.2% | 24.6% |
| Smoking | 17.4% | 18.6% |
| Binge Drinking | 22.1% | 18.7% |
| Obesity | 32.6% | 37.1% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Dassel vs Wichita falls
- In Wichita falls, a higher percentage report poor mental health at 18.3% compared to 14.6% in Dassel.
- Higher depression rates are seen in Wichita falls at 24.6% versus 23.2% in Dassel.
- Wichita falls has a higher smoking rate at 18.6% compared to 17.4% in Dassel.
- Binge drinking is more common in Dassel at 22.1% compared to 18.7% in Wichita falls.
- Wichita falls has higher obesity rates at 37.1% compared to 32.6% in Dassel.
- Disability percentages are the same in both Dassel and Wichita falls at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dassel | Wichita falls |
|---|---|---|
| No Schooling | 0.5% (8) | 1.0% (1,035) |
| High School Diploma | 25.1% (372) | 15.1% (15,510) |
| Less than High School | 9.4% (140) | 14.6% (14,970) |
| Bachelor's Degree and Higher | 14.8% (220) | 15.1% (15,550) |
Education Levels Comparison: Dassel vs Wichita falls
- In Wichita falls, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Dassel.
- A higher percentage of residents in Dassel hold a high school diploma at 25.1% compared to 15.1% in Wichita falls.
- The percentage of residents with less than a high school education is higher in Wichita falls at 14.6%, compared to 9.4% in Dassel.
- In Wichita falls, a larger share of residents have a bachelor's degree or higher at 15.1% compared to 14.8% in Dassel.
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.