Demographics details for Webb city, MO vs Sylvania, GA
Population Overview
Compare main population characteristics in Webb city, MO vs Sylvania, GA.
| Data | Webb city | Sylvania |
|---|---|---|
| Population | 13,165 | 2,602 |
| Median Age | 34.2 years | 43.7 years |
| Median Income | $58,964 | $36,682 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Webb city vs Sylvania
- In Webb city, the population is higher at 13,165, compared to 2,602 in Sylvania.
- The median age in Sylvania is higher at 43.7 years, compared to 34.2 years in Webb city.
- Webb city has a higher median income of $58,964 compared to $36,682 in Sylvania.
- A higher percentage of married families is found in Webb city at 36.0% compared to 33.0% in Sylvania.
- The poverty level is higher in Sylvania at 18%, compared to 12% in Webb city.
- Sylvania has a higher unemployment rate at 5.2% compared to 3.5% in Webb city.
Demographics
Demographics Webb city vs Sylvania provide insight into the diversity of the communities to compare.
| Demographic | Webb city | Sylvania |
|---|---|---|
| Black | 2 | 57 |
| White | 87 | 40 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Sylvania
- In Sylvania, the percentage of Black residents is higher at 57% compared to 2% in Webb city.
- Webb city has a higher percentage of White residents at 87% compared to 40% in Sylvania.
- The Asian population is larger in Webb city at 2% compared to 0% in Sylvania.
- The Hispanic community is larger in Webb city at 2% compared to 1% in Sylvania.
- More residents identify as two or more races in Webb city at 6% compared to 2% in Sylvania.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Sylvania.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb city | Sylvania |
|---|---|---|
| Mental Health Not Good | 19.2% | 18.9% |
| Physical Health Not Good | 13.6% | 14.4% |
| Depression | 26.8% | 21.8% |
| Smoking | 21.8% | 21.8% |
| Binge Drinking | 16.2% | 13.6% |
| Obesity | 40.0% | 40.5% |
| Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Webb city vs Sylvania
- More residents in Webb city report poor mental health at 19.2% compared to 18.9% in Sylvania.
- Depression is more prevalent in Webb city at 26.8% compared to 21.8% in Sylvania.
- Smoking rates are the same in both Webb city and Sylvania at 21.8%.
- Binge drinking is more common in Webb city at 16.2% compared to 13.6% in Sylvania.
- Sylvania has higher obesity rates at 40.5% compared to 40.0% in Webb city.
- Disability percentages are the same in both Webb city and Sylvania at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webb city | Sylvania |
|---|---|---|
| No Schooling | 0.4% (53) | 0.3% (8) |
| High School Diploma | 19.4% (2,556) | 27.1% (704) |
| Less than High School | 11.6% (1,529) | 18.6% (485) |
| Bachelor's Degree and Higher | 17.5% (2,301) | 10.4% (271) |
Education Levels Comparison: Webb city vs Sylvania
- A higher percentage of residents in Webb city have no formal schooling at 0.4% compared to 0.3% in Sylvania.
- In Sylvania, the rate of residents with high school diplomas is higher at 27.1% compared to 19.4% in Webb city.
- The percentage of residents with less than a high school education is higher in Sylvania at 18.6%, compared to 11.6% in Webb city.
- A higher percentage of residents in Webb city hold a bachelor's degree or higher at 17.5% compared to 10.4% in Sylvania.
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.