Demographics details for Twinsburg, OH vs Ithaca, MI
Population Overview
Compare main population characteristics in Twinsburg, OH vs Ithaca, MI.
| Data | Twinsburg | Ithaca |
|---|---|---|
| Population | 19,416 | 2,808 |
| Median Age | 43.6 years | 42.2 years |
| Median Income | $91,554 | $60,389 |
| Married Families | 43.0% | 39.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Twinsburg vs Ithaca
- In Twinsburg, the population is higher at 19,416, compared to 2,808 in Ithaca.
- Residents in Twinsburg have a higher median age of 43.6 years compared to 42.2 years in Ithaca.
- Twinsburg has a higher median income of $91,554 compared to $60,389 in Ithaca.
- A higher percentage of married families is found in Twinsburg at 43.0% compared to 39.0% in Ithaca.
- The poverty level is higher in Ithaca at 13%, compared to 5% in Twinsburg.
- Ithaca has a higher unemployment rate at 4.5% compared to 4.2% in Twinsburg.
Demographics
Demographics Twinsburg vs Ithaca provide insight into the diversity of the communities to compare.
| Demographic | Twinsburg | Ithaca |
|---|---|---|
| Black | 17 | 1 |
| White | 69 | 87 |
| Asian | 7 | Data is updating |
| Hispanic | 3 | 8 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Twinsburg vs Ithaca
- A higher percentage of Black residents are in Twinsburg at 17% compared to 1% in Ithaca.
- The percentage of White residents is higher in Ithaca at 87% compared to 69% in Twinsburg.
- The Asian population is larger in Twinsburg at 7% compared to 0% in Ithaca.
- Ithaca has a higher percentage of Hispanic residents at 8%, compared to 3% in Twinsburg.
- More residents identify as two or more races in Twinsburg at 4% compared to 3% in Ithaca.
- In Ithaca, the percentage of American Indian residents is higher at 1%, compared to 0% in Twinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Twinsburg | Ithaca |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.5% |
| Physical Health Not Good | 9.3% | 12.1% |
| Depression | 22.4% | 27.0% |
| Smoking | 14.7% | 21.2% |
| Binge Drinking | 18.4% | 18.0% |
| Obesity | 38.9% | 36.4% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Twinsburg vs Ithaca
- In Ithaca, a higher percentage report poor mental health at 18.5% compared to 15.1% in Twinsburg.
- Higher depression rates are seen in Ithaca at 27.0% versus 22.4% in Twinsburg.
- Ithaca has a higher smoking rate at 21.2% compared to 14.7% in Twinsburg.
- Binge drinking is more common in Twinsburg at 18.4% compared to 18.0% in Ithaca.
- Obesity rates are higher in Twinsburg at 38.9% compared to 36.4% in Ithaca.
- There is a higher percentage of disabled individuals in Ithaca at 16.0% compared to 9.0% in Twinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Twinsburg | Ithaca |
|---|---|---|
| No Schooling | 0.7% (135) | 1.5% (43) |
| High School Diploma | 16.3% (3,173) | 21.4% (602) |
| Less than High School | 4.8% (931) | 13.1% (368) |
| Bachelor's Degree and Higher | 31.2% (6,065) | 17.6% (495) |
Education Levels Comparison: Twinsburg vs Ithaca
- In Ithaca, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Twinsburg.
- In Ithaca, the rate of residents with high school diplomas is higher at 21.4% compared to 16.3% in Twinsburg.
- The percentage of residents with less than a high school education is higher in Ithaca at 13.1%, compared to 4.8% in Twinsburg.
- A higher percentage of residents in Twinsburg hold a bachelor's degree or higher at 31.2% compared to 17.6% in Ithaca.
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.