Demographics details for Tipp city, OH vs Wheeler, WI
Population Overview
Compare main population characteristics in Tipp city, OH vs Wheeler, WI.
| Data | Tipp city | Wheeler |
|---|---|---|
| Population | 10,424 | 331 |
| Median Age | 40.1 years | 42.6 years |
| Median Income | $74,178 | $54,167 |
| Married Families | 46.0% | 31.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Tipp city vs Wheeler
- In Tipp city, the population is higher at 10,424, compared to 331 in Wheeler.
- The median age in Wheeler is higher at 42.6 years, compared to 40.1 years in Tipp city.
- Tipp city has a higher median income of $74,178 compared to $54,167 in Wheeler.
- A higher percentage of married families is found in Tipp city at 46.0% compared to 31.0% in Wheeler.
- The poverty level is higher in Wheeler at 8%, compared to 5% in Tipp city.
- Wheeler has a higher unemployment rate at 4.0% compared to 3.2% in Tipp city.
Demographics
Demographics Tipp city vs Wheeler provide insight into the diversity of the communities to compare.
| Demographic | Tipp city | Wheeler |
|---|---|---|
| Black | 1 | Data is updating |
| White | 92 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tipp city vs Wheeler
- A higher percentage of Black residents are in Tipp city at 1% compared to 0% in Wheeler.
- The percentage of White residents is higher in Wheeler at 94% compared to 92% in Tipp city.
- The Asian population is larger in Tipp city at 2% compared to 0% in Wheeler.
- Wheeler has a higher percentage of Hispanic residents at 4%, compared to 1% in Tipp city.
- More residents identify as two or more races in Tipp city at 4% compared to 2% in Wheeler.
- The percentage of American Indian residents is the same in both Tipp city and Wheeler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tipp city | Wheeler |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.9% |
| Physical Health Not Good | 9.5% | 10.8% |
| Depression | 21.5% | 24.4% |
| Smoking | 15.4% | 17.9% |
| Binge Drinking | 19.2% | 23.6% |
| Obesity | 36.7% | 37.4% |
| Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Tipp city vs Wheeler
- In Wheeler, a higher percentage report poor mental health at 15.9% compared to 15.4% in Tipp city.
- Higher depression rates are seen in Wheeler at 24.4% versus 21.5% in Tipp city.
- Wheeler has a higher smoking rate at 17.9% compared to 15.4% in Tipp city.
- More residents engage in binge drinking in Wheeler at 23.6% compared to 19.2% in Tipp city.
- Wheeler has higher obesity rates at 37.4% compared to 36.7% in Tipp city.
- There is a higher percentage of disabled individuals in Wheeler at 24.0% compared to 11.0% in Tipp city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tipp city | Wheeler |
|---|---|---|
| No Schooling | 0.6% (61) | 0.0% (Data is updating) |
| High School Diploma | 15.5% (1,616) | 18.1% (60) |
| Less than High School | 6.0% (624) | 16.3% (54) |
| Bachelor's Degree and Higher | 23.6% (2,455) | 3.9% (13) |
Education Levels Comparison: Tipp city vs Wheeler
- A higher percentage of residents in Tipp city have no formal schooling at 0.6% compared to 0.0% in Wheeler.
- In Wheeler, the rate of residents with high school diplomas is higher at 18.1% compared to 15.5% in Tipp city.
- The percentage of residents with less than a high school education is higher in Wheeler at 16.3%, compared to 6.0% in Tipp city.
- A higher percentage of residents in Tipp city hold a bachelor's degree or higher at 23.6% 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.