Demographics details for Sylvania, OH vs Vancleave, MS
Population Overview
Compare main population characteristics in Sylvania, OH vs Vancleave, MS.
| Data | Sylvania | Vancleave |
|---|---|---|
| Population | 19,051 | 5,207 |
| Median Age | 42.1 years | 37.7 years |
| Median Income | $86,048 | $72,576 |
| Married Families | 46.0% | 51.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Sylvania vs Vancleave
- In Sylvania, the population is higher at 19,051, compared to 5,207 in Vancleave.
- Residents in Sylvania have a higher median age of 42.1 years compared to 37.7 years in Vancleave.
- Sylvania has a higher median income of $86,048 compared to $72,576 in Vancleave.
- In Vancleave, the percentage of married families is higher at 51.0%, compared to 46.0% in Sylvania.
- The poverty level is higher in Vancleave at 13%, compared to 5% in Sylvania.
- The unemployment rate is the same in both Sylvania and Vancleave at 3.5%.
Demographics
Demographics Sylvania vs Vancleave provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Vancleave |
|---|---|---|
| Black | 2 | 5 |
| White | 89 | 92 |
| Asian | 3 | Data is updating |
| Hispanic | 3 | 1 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sylvania vs Vancleave
- In Vancleave, the percentage of Black residents is higher at 5% compared to 2% in Sylvania.
- The percentage of White residents is higher in Vancleave at 92% compared to 89% in Sylvania.
- The Asian population is larger in Sylvania at 3% compared to 0% in Vancleave.
- The Hispanic community is larger in Sylvania at 3% compared to 1% in Vancleave.
- More residents identify as two or more races in Sylvania at 3% compared to 2% in Vancleave.
- The percentage of American Indian residents is the same in both Sylvania and Vancleave at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Vancleave |
|---|---|---|
| Mental Health Not Good | 15.5% | 16.2% |
| Physical Health Not Good | 8.7% | 10.9% |
| Depression | 22.9% | 23.7% |
| Smoking | 13.5% | 17.6% |
| Binge Drinking | 18.1% | 17.1% |
| Obesity | 35.0% | 33.0% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Sylvania vs Vancleave
- In Vancleave, a higher percentage report poor mental health at 16.2% compared to 15.5% in Sylvania.
- Higher depression rates are seen in Vancleave at 23.7% versus 22.9% in Sylvania.
- Vancleave has a higher smoking rate at 17.6% compared to 13.5% in Sylvania.
- Binge drinking is more common in Sylvania at 18.1% compared to 17.1% in Vancleave.
- Obesity rates are higher in Sylvania at 35.0% compared to 33.0% in Vancleave.
- There is a higher percentage of disabled individuals in Vancleave at 11.0% 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 | Vancleave |
|---|---|---|
| No Schooling | 0.0% (7) | 1.3% (67) |
| High School Diploma | 12.1% (2,300) | 14.7% (765) |
| Less than High School | 3.1% (587) | 8.5% (445) |
| Bachelor's Degree and Higher | 35.1% (6,680) | 17.0% (884) |
Education Levels Comparison: Sylvania vs Vancleave
- In Vancleave, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Sylvania.
- In Vancleave, the rate of residents with high school diplomas is higher at 14.7% compared to 12.1% in Sylvania.
- The percentage of residents with less than a high school education is higher in Vancleave at 8.5%, 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 17.0% in Vancleave.
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.