Demographics details for Sylvania, GA vs Franklin, IN
Population Overview
Compare main population characteristics in Sylvania, GA vs Franklin, IN.
| Data | Sylvania | Franklin |
|---|---|---|
| Population | 2,602 | 25,728 |
| Median Age | 43.7 years | 34.4 years |
| Median Income | $36,682 | $72,344 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 5.2 | 4.1 |
Population Comparison: Sylvania vs Franklin
- The population in Franklin is higher at 25,728, compared to 2,602 in Sylvania.
- Residents in Sylvania have a higher median age of 43.7 years compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344, compared to $36,682 in Sylvania.
- In Franklin, the percentage of married families is higher at 38.0%, compared to 33.0% in Sylvania.
- Sylvania has a higher poverty level at 18% compared to 9% in Franklin.
- The unemployment rate in Sylvania is higher at 5.2%, compared to 4.1% in Franklin.
Demographics
Demographics Sylvania vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Sylvania | Franklin |
|---|---|---|
| Black | 57 | 4 |
| White | 40 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sylvania vs Franklin
- A higher percentage of Black residents are in Sylvania at 57% compared to 4% in Franklin.
- The percentage of White residents is higher in Franklin at 87% compared to 40% in Sylvania.
- In Franklin, the Asian population stands at 1%, greater than 0% in Sylvania.
- Franklin has a higher percentage of Hispanic residents at 3%, compared to 1% in Sylvania.
- The percentage of residents identifying as two or more races is higher in Franklin at 5%, compared to 2% in Sylvania.
- The percentage of American Indian residents is the same in both Sylvania and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sylvania | Franklin |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.7% |
| Physical Health Not Good | 14.4% | 11.4% |
| Depression | 21.8% | 28.9% |
| Smoking | 21.8% | 19.2% |
| Binge Drinking | 13.6% | 16.9% |
| Obesity | 40.5% | 41.6% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Sylvania vs Franklin
- More residents in Sylvania report poor mental health at 18.9% compared to 17.7% in Franklin.
- Higher depression rates are seen in Franklin at 28.9% versus 21.8% in Sylvania.
- Smoking is more prevalent in Sylvania at 21.8% compared to 19.2% in Franklin.
- More residents engage in binge drinking in Franklin at 16.9% compared to 13.6% in Sylvania.
- Franklin has higher obesity rates at 41.6% compared to 40.5% in Sylvania.
- Disability percentages are higher in Sylvania at 16.0% compared to 12.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sylvania | Franklin |
|---|---|---|
| No Schooling | 0.3% (8) | 0.6% (148) |
| High School Diploma | 27.1% (704) | 19.1% (4,910) |
| Less than High School | 18.6% (485) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 10.4% (271) | 13.4% (3,460) |
Education Levels Comparison: Sylvania vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Sylvania.
- A higher percentage of residents in Sylvania hold a high school diploma at 27.1% compared to 19.1% in Franklin.
- More residents in Sylvania have less than a high school education at 18.6% compared to 8.9% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 13.4% 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.