Demographics details for Wheeler, WI vs Mitchell, IN
Population Overview
Compare main population characteristics in Wheeler, WI vs Mitchell, IN.
| Data | Wheeler | Mitchell |
|---|---|---|
| Population | 331 | 3,940 |
| Median Age | 42.6 years | 35.5 years |
| Median Income | $54,167 | $51,025 |
| Married Families | 31.0% | 32.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Wheeler vs Mitchell
- The population in Mitchell is higher at 3,940, compared to 331 in Wheeler.
- Residents in Wheeler have a higher median age of 42.6 years compared to 35.5 years in Mitchell.
- Wheeler has a higher median income of $54,167 compared to $51,025 in Mitchell.
- In Mitchell, the percentage of married families is higher at 32.0%, compared to 31.0% in Wheeler.
- The poverty level is higher in Mitchell at 10%, compared to 8% in Wheeler.
- The unemployment rate in Wheeler is higher at 4.0%, compared to 3.5% in Mitchell.
Demographics
Demographics Wheeler vs Mitchell provide insight into the diversity of the communities to compare.
| Demographic | Wheeler | Mitchell |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 92 |
| Asian | Data is updating | 4 |
| Hispanic | 4 | 1 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs Mitchell
- In Mitchell, the percentage of Black residents is higher at 1% compared to 0% in Wheeler.
- Wheeler has a higher percentage of White residents at 94% compared to 92% in Mitchell.
- In Mitchell, the Asian population stands at 4%, greater than 0% in Wheeler.
- The Hispanic community is larger in Wheeler at 4% compared to 1% in Mitchell.
- Both Wheeler and Mitchell have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Wheeler and Mitchell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeler | Mitchell |
|---|---|---|
| Mental Health Not Good | 15.9% | 19.4% |
| Physical Health Not Good | 10.8% | 13.7% |
| Depression | 24.4% | 28.5% |
| Smoking | 17.9% | 24.3% |
| Binge Drinking | 23.6% | 15.9% |
| Obesity | 37.4% | 43.5% |
| Disability Percentage | 24.0% | 21.0% |
Health Statistics Comparison: Wheeler vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 15.9% in Wheeler.
- Higher depression rates are seen in Mitchell at 28.5% versus 24.4% in Wheeler.
- Mitchell has a higher smoking rate at 24.3% compared to 17.9% in Wheeler.
- Binge drinking is more common in Wheeler at 23.6% compared to 15.9% in Mitchell.
- Mitchell has higher obesity rates at 43.5% compared to 37.4% in Wheeler.
- Disability percentages are higher in Wheeler at 24.0% compared to 21.0% in Mitchell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeler | Mitchell |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (63) |
| High School Diploma | 18.1% (60) | 20.4% (802) |
| Less than High School | 16.3% (54) | 29.2% (1,152) |
| Bachelor's Degree and Higher | 3.9% (13) | 9.8% (387) |
Education Levels Comparison: Wheeler vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Wheeler.
- In Mitchell, the rate of residents with high school diplomas is higher at 20.4% compared to 18.1% in Wheeler.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 16.3% in Wheeler.
- In Mitchell, a larger share of residents have a bachelor's degree or higher at 9.8% compared to 3.9% in Wheeler.
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.