Demographics details for Tipp city, OH vs Shelby, MI
Population Overview
Compare main population characteristics in Tipp city, OH vs Shelby, MI.
| Data | Tipp city | Shelby |
|---|---|---|
| Population | 10,424 | 2,176 |
| Median Age | 40.1 years | 31.9 years |
| Median Income | $74,178 | $51,316 |
| Married Families | 46.0% | 36.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Tipp city vs Shelby
- In Tipp city, the population is higher at 10,424, compared to 2,176 in Shelby.
- Residents in Tipp city have a higher median age of 40.1 years compared to 31.9 years in Shelby.
- Tipp city has a higher median income of $74,178 compared to $51,316 in Shelby.
- A higher percentage of married families is found in Tipp city at 46.0% compared to 36.0% in Shelby.
- The poverty level is higher in Shelby at 12%, compared to 5% in Tipp city.
- Shelby has a higher unemployment rate at 4.0% compared to 3.2% in Tipp city.
Demographics
Demographics Tipp city vs Shelby provide insight into the diversity of the communities to compare.
| Demographic | Tipp city | Shelby |
|---|---|---|
| Black | 1 | 3 |
| White | 92 | 19 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 60 |
| Two or More Races | 4 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Tipp city vs Shelby
- In Shelby, the percentage of Black residents is higher at 3% compared to 1% in Tipp city.
- Tipp city has a higher percentage of White residents at 92% compared to 19% in Shelby.
- The Asian population is larger in Tipp city at 2% compared to 0% in Shelby.
- Shelby has a higher percentage of Hispanic residents at 60%, compared to 1% in Tipp city.
- The percentage of residents identifying as two or more races is higher in Shelby at 15%, compared to 4% in Tipp city.
- In Shelby, the percentage of American Indian residents is higher at 3%, compared to 0% in Tipp city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tipp city | Shelby |
|---|---|---|
| Mental Health Not Good | 15.4% | 17.4% |
| Physical Health Not Good | 9.5% | 12.7% |
| Depression | 21.5% | 23.5% |
| Smoking | 15.4% | 19.0% |
| Binge Drinking | 19.2% | 16.7% |
| Obesity | 36.7% | 37.5% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Tipp city vs Shelby
- In Shelby, a higher percentage report poor mental health at 17.4% compared to 15.4% in Tipp city.
- Higher depression rates are seen in Shelby at 23.5% versus 21.5% in Tipp city.
- Shelby has a higher smoking rate at 19.0% compared to 15.4% in Tipp city.
- Binge drinking is more common in Tipp city at 19.2% compared to 16.7% in Shelby.
- Shelby has higher obesity rates at 37.5% compared to 36.7% in Tipp city.
- There is a higher percentage of disabled individuals in Shelby at 12.0% 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 | Shelby |
|---|---|---|
| No Schooling | 0.6% (61) | 2.3% (51) |
| High School Diploma | 15.5% (1,616) | 24.9% (542) |
| Less than High School | 6.0% (624) | 19.3% (421) |
| Bachelor's Degree and Higher | 23.6% (2,455) | 10.0% (218) |
Education Levels Comparison: Tipp city vs Shelby
- In Shelby, a larger percentage of residents lack formal schooling at 2.3% compared to 0.6% in Tipp city.
- In Shelby, the rate of residents with high school diplomas is higher at 24.9% compared to 15.5% in Tipp city.
- The percentage of residents with less than a high school education is higher in Shelby at 19.3%, 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 10.0% in Shelby.
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.