Demographics details for Sylvania, OH vs Leander, TX
Population Overview
Compare main population characteristics in Sylvania, OH vs Leander, TX.
| Data | Sylvania | Leander |
|---|---|---|
| Population | 19,051 | 74,375 |
| Median Age | 42.1 years | 35.5 years |
| Median Income | $86,048 | $129,684 |
| Married Families | 46.0% | 40.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Sylvania vs Leander
- The population in Leander is higher at 74,375, compared to 19,051 in Sylvania.
- Residents in Sylvania have a higher median age of 42.1 years compared to 35.5 years in Leander.
- Leander has a higher median income of $129,684, compared to $86,048 in Sylvania.
- A higher percentage of married families is found in Sylvania at 46.0% compared to 40.0% in Leander.
- The poverty level is identical in both Sylvania and Leander at 5%.
- Leander has a higher unemployment rate at 4.0% compared to 3.5% in Sylvania.
Demographics
Demographics Sylvania vs Leander provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Leander |
|---|---|---|
| Black | 2 | 5 |
| White | 89 | 57 |
| Asian | 3 | 7 |
| Hispanic | 3 | 20 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sylvania vs Leander
- In Leander, 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 57% in Leander.
- In Leander, the Asian population stands at 7%, greater than 3% in Sylvania.
- Leander has a higher percentage of Hispanic residents at 20%, compared to 3% in Sylvania.
- The percentage of residents identifying as two or more races is higher in Leander at 11%, compared to 3% in Sylvania.
- The percentage of American Indian residents is the same in both Sylvania and Leander at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Leander |
|---|---|---|
| Mental Health Not Good | 15.5% | 15.7% |
| Physical Health Not Good | 8.7% | 9.5% |
| Depression | 22.9% | 24.7% |
| Smoking | 13.5% | 12.4% |
| Binge Drinking | 18.1% | 17.8% |
| Obesity | 35.0% | 32.7% |
| Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: Sylvania vs Leander
- In Leander, a higher percentage report poor mental health at 15.7% compared to 15.5% in Sylvania.
- Higher depression rates are seen in Leander at 24.7% versus 22.9% in Sylvania.
- Smoking is more prevalent in Sylvania at 13.5% compared to 12.4% in Leander.
- Binge drinking is more common in Sylvania at 18.1% compared to 17.8% in Leander.
- Obesity rates are higher in Sylvania at 35.0% compared to 32.7% in Leander.
- Disability percentages are higher in Sylvania at 10.0% compared to 7.0% in Leander.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sylvania | Leander |
|---|---|---|
| No Schooling | 0.0% (7) | 0.6% (422) |
| High School Diploma | 12.1% (2,300) | 7.1% (5,306) |
| Less than High School | 3.1% (587) | 4.3% (3,162) |
| Bachelor's Degree and Higher | 35.1% (6,680) | 26.4% (19,620) |
Education Levels Comparison: Sylvania vs Leander
- In Leander, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Sylvania.
- A higher percentage of residents in Sylvania hold a high school diploma at 12.1% compared to 7.1% in Leander.
- The percentage of residents with less than a high school education is higher in Leander at 4.3%, 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 26.4% in Leander.
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.