Demographics details for Sylvania, OH vs Tucson, AZ
Population Overview
Compare main population characteristics in Sylvania, OH vs Tucson, AZ.
| Data | Sylvania | Tucson |
|---|---|---|
| Population | 19,051 | 546,574 |
| Median Age | 42.1 years | 33.9 years |
| Median Income | $86,048 | $52,049 |
| Married Families | 46.0% | 30.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Sylvania vs Tucson
- The population in Tucson is higher at 546,574, compared to 19,051 in Sylvania.
- Residents in Sylvania have a higher median age of 42.1 years compared to 33.9 years in Tucson.
- Sylvania has a higher median income of $86,048 compared to $52,049 in Tucson.
- A higher percentage of married families is found in Sylvania at 46.0% compared to 30.0% in Tucson.
- The poverty level is higher in Tucson at 13%, compared to 5% in Sylvania.
- Tucson has a higher unemployment rate at 4.1% compared to 3.5% in Sylvania.
Demographics
Demographics Sylvania vs Tucson provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Tucson |
|---|---|---|
| Black | 2 | 5 |
| White | 89 | 29 |
| Asian | 3 | 3 |
| Hispanic | 3 | 44 |
| Two or More Races | 3 | 16 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Sylvania vs Tucson
- In Tucson, the percentage of Black residents is higher at 5% compared to 2% in Sylvania.
- Sylvania has a higher percentage of White residents at 89% compared to 29% in Tucson.
- Both Sylvania and Tucson have the same percentage of Asian residents at 3%.
- Tucson has a higher percentage of Hispanic residents at 44%, compared to 3% in Sylvania.
- The percentage of residents identifying as two or more races is higher in Tucson at 16%, compared to 3% in Sylvania.
- In Tucson, the percentage of American Indian residents is higher at 3%, compared to 0% in Sylvania.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Tucson |
|---|---|---|
| Mental Health Not Good | 15.5% | 18.6% |
| Physical Health Not Good | 8.7% | 13.1% |
| Depression | 22.9% | 23.6% |
| Smoking | 13.5% | 17.8% |
| Binge Drinking | 18.1% | 16.5% |
| Obesity | 35.0% | 34.9% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Sylvania vs Tucson
- In Tucson, a higher percentage report poor mental health at 18.6% compared to 15.5% in Sylvania.
- Higher depression rates are seen in Tucson at 23.6% versus 22.9% in Sylvania.
- Tucson has a higher smoking rate at 17.8% compared to 13.5% in Sylvania.
- Binge drinking is more common in Sylvania at 18.1% compared to 16.5% in Tucson.
- Obesity rates are higher in Sylvania at 35.0% compared to 34.9% in Tucson.
- There is a higher percentage of disabled individuals in Tucson at 14.0% compared to 10.0% in Sylvania.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sylvania | Tucson |
|---|---|---|
| No Schooling | 0.0% (7) | 1.1% (5,757) |
| High School Diploma | 12.1% (2,300) | 11.4% (62,581) |
| Less than High School | 3.1% (587) | 16.0% (87,637) |
| Bachelor's Degree and Higher | 35.1% (6,680) | 18.6% (101,769) |
Education Levels Comparison: Sylvania vs Tucson
- In Tucson, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Sylvania.
- A higher percentage of residents in Sylvania hold a high school diploma at 12.1% compared to 11.4% in Tucson.
- The percentage of residents with less than a high school education is higher in Tucson at 16.0%, compared to 3.1% in Sylvania.
- A higher percentage of residents in Sylvania hold a bachelor's degree or higher at 35.1% compared to 18.6% in Tucson.
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.