Demographics details for Waterproof, LA vs Sylvania, GA
Population Overview
Compare main population characteristics in Waterproof, LA vs Sylvania, GA.
| Data | Waterproof | Sylvania |
|---|---|---|
| Population | 499 | 2,602 |
| Median Age | 37.0 years | 43.7 years |
| Median Income | $21,953 | $36,682 |
| Married Families | 9.0% | 33.0% |
| Poverty Level | 30% | 18% |
| Unemployment Rate | 5.0 | 5.2 |
Population Comparison: Waterproof vs Sylvania
- The population in Sylvania is higher at 2,602, compared to 499 in Waterproof.
- The median age in Sylvania is higher at 43.7 years, compared to 37.0 years in Waterproof.
- Sylvania has a higher median income of $36,682, compared to $21,953 in Waterproof.
- In Sylvania, the percentage of married families is higher at 33.0%, compared to 9.0% in Waterproof.
- Waterproof has a higher poverty level at 30% compared to 18% in Sylvania.
- Sylvania has a higher unemployment rate at 5.2% compared to 5.0% in Waterproof.
Demographics
Demographics Waterproof vs Sylvania provide insight into the diversity of the communities to compare.
| Demographic | Waterproof | Sylvania |
|---|---|---|
| Black | 103 | 57 |
| White | -12 | 40 |
| Asian | 7 | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterproof vs Sylvania
- A higher percentage of Black residents are in Waterproof at 103% compared to 57% in Sylvania.
- The percentage of White residents is higher in Sylvania at 40% compared to -12% in Waterproof.
- The Asian population is larger in Waterproof at 7% compared to 0% in Sylvania.
- Sylvania has a higher percentage of Hispanic residents at 1%, compared to 0% in Waterproof.
- Both Waterproof and Sylvania have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Waterproof and Sylvania at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterproof | Sylvania |
|---|---|---|
| Mental Health Not Good | 24.5% | 18.9% |
| Physical Health Not Good | 20.0% | 14.4% |
| Depression | 25.1% | 21.8% |
| Smoking | 33.7% | 21.8% |
| Binge Drinking | 11.8% | 13.6% |
| Obesity | 53.1% | 40.5% |
| Disability Percentage | 22.0% | 16.0% |
Health Statistics Comparison: Waterproof vs Sylvania
- More residents in Waterproof report poor mental health at 24.5% compared to 18.9% in Sylvania.
- Depression is more prevalent in Waterproof at 25.1% compared to 21.8% in Sylvania.
- Smoking is more prevalent in Waterproof at 33.7% compared to 21.8% in Sylvania.
- More residents engage in binge drinking in Sylvania at 13.6% compared to 11.8% in Waterproof.
- Obesity rates are higher in Waterproof at 53.1% compared to 40.5% in Sylvania.
- Disability percentages are higher in Waterproof at 22.0% compared to 16.0% in Sylvania.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterproof | Sylvania |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (8) |
| High School Diploma | 27.7% (138) | 27.1% (704) |
| Less than High School | 10.6% (53) | 18.6% (485) |
| Bachelor's Degree and Higher | 12.8% (64) | 10.4% (271) |
Education Levels Comparison: Waterproof vs Sylvania
- In Sylvania, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Waterproof.
- A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 27.1% in Sylvania.
- The percentage of residents with less than a high school education is higher in Sylvania at 18.6%, compared to 10.6% in Waterproof.
- A higher percentage of residents in Waterproof hold a bachelor's degree or higher at 12.8% 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.