Demographics details for Sylvania, GA vs Sanborn, NY
Population Overview
Compare main population characteristics in Sylvania, GA vs Sanborn, NY.
| Data | Sylvania | Sanborn |
|---|---|---|
| Population | 2,602 | 1,499 |
| Median Age | 43.7 years | 35.2 years |
| Median Income | $36,682 | $75,109 |
| Married Families | 33.0% | 34.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Sylvania vs Sanborn
- In Sylvania, the population is higher at 2,602, compared to 1,499 in Sanborn.
- Residents in Sylvania have a higher median age of 43.7 years compared to 35.2 years in Sanborn.
- Sanborn has a higher median income of $75,109, compared to $36,682 in Sylvania.
- In Sanborn, the percentage of married families is higher at 34.0%, compared to 33.0% in Sylvania.
- Sylvania has a higher poverty level at 18% compared to 9% in Sanborn.
- The unemployment rate in Sylvania is higher at 5.2%, compared to 4.5% in Sanborn.
Demographics
Demographics Sylvania vs Sanborn provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Sanborn |
|---|---|---|
| Black | 57 | 1 |
| White | 40 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 1 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sylvania vs Sanborn
- A higher percentage of Black residents are in Sylvania at 57% compared to 1% in Sanborn.
- The percentage of White residents is higher in Sanborn at 94% compared to 40% in Sylvania.
- Both Sylvania and Sanborn have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Sylvania and Sanborn at 1%.
- The percentage of residents identifying as two or more races is higher in Sanborn at 4%, compared to 2% in Sylvania.
- The percentage of American Indian residents is the same in both Sylvania and Sanborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Sanborn |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.5% |
| Physical Health Not Good | 14.4% | 9.4% |
| Depression | 21.8% | 24.9% |
| Smoking | 21.8% | 17.7% |
| Binge Drinking | 13.6% | 20.0% |
| Obesity | 40.5% | 32.9% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Sylvania vs Sanborn
- More residents in Sylvania report poor mental health at 18.9% compared to 15.5% in Sanborn.
- Higher depression rates are seen in Sanborn at 24.9% versus 21.8% in Sylvania.
- Smoking is more prevalent in Sylvania at 21.8% compared to 17.7% in Sanborn.
- More residents engage in binge drinking in Sanborn at 20.0% compared to 13.6% in Sylvania.
- Obesity rates are higher in Sylvania at 40.5% compared to 32.9% in Sanborn.
- Disability percentages are higher in Sylvania at 16.0% compared to 9.0% in Sanborn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sylvania | Sanborn |
|---|---|---|
| No Schooling | 0.3% (8) | 3.9% (58) |
| High School Diploma | 27.1% (704) | 19.6% (294) |
| Less than High School | 18.6% (485) | 16.0% (240) |
| Bachelor's Degree and Higher | 10.4% (271) | 13.9% (209) |
Education Levels Comparison: Sylvania vs Sanborn
- In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 0.3% in Sylvania.
- A higher percentage of residents in Sylvania hold a high school diploma at 27.1% compared to 19.6% in Sanborn.
- More residents in Sylvania have less than a high school education at 18.6% compared to 16.0% in Sanborn.
- In Sanborn, a larger share of residents have a bachelor's degree or higher at 13.9% 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.