Demographics details for Franklin, GA vs Paupack, PA
Population Overview
Compare main population characteristics in Franklin, GA vs Paupack, PA.
| Data | Franklin | Paupack |
|---|---|---|
| Population | 24,128 | 1,000 |
| Median Age | 40.9 years | 42.0 years |
| Median Income | $52,597 | $60,000 |
| Married Families | 39.0% | 300.0% |
| Poverty Level | 13% | 8% |
| Unemployment Rate | 4.8 | 4.0 |
Population Comparison: Franklin vs Paupack
- In Franklin, the population is higher at 24,128, compared to 1,000 in Paupack.
- The median age in Paupack is higher at 42.0 years, compared to 40.9 years in Franklin.
- Paupack has a higher median income of $60,000, compared to $52,597 in Franklin.
- In Paupack, the percentage of married families is higher at 300.0%, compared to 39.0% in Franklin.
- Franklin has a higher poverty level at 13% compared to 8% in Paupack.
- The unemployment rate in Franklin is higher at 4.8%, compared to 4.0% in Paupack.
Demographics
Demographics Franklin vs Paupack provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Paupack |
|---|---|---|
| Black | 9 | 2 |
| White | 81 | 90 |
| Asian | 1 | 5 |
| Hispanic | 5 | 3 |
| Two or More Races | 3 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Franklin vs Paupack
- A higher percentage of Black residents are in Franklin at 9% compared to 2% in Paupack.
- The percentage of White residents is higher in Paupack at 90% compared to 81% in Franklin.
- In Paupack, the Asian population stands at 5%, greater than 1% in Franklin.
- The Hispanic community is larger in Franklin at 5% compared to 3% in Paupack.
- More residents identify as two or more races in Franklin at 3% compared to 0% in Paupack.
- A greater percentage of American Indian residents live in Franklin at 1% compared to 0% in Paupack.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Paupack |
|---|---|---|
| Mental Health Not Good | 18.1% | Data is updating% |
| Physical Health Not Good | 13.2% | Data is updating% |
| Depression | 23.4% | Data is updating% |
| Smoking | 19.9% | Data is updating% |
| Binge Drinking | 16.2% | Data is updating% |
| Obesity | 37.7% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Franklin vs Paupack
- More residents in Franklin report poor mental health at 18.1% compared to 0.0% in Paupack.
- Depression is more prevalent in Franklin at 23.4% compared to 0.0% in Paupack.
- Smoking is more prevalent in Franklin at 19.9% compared to 0.0% in Paupack.
- Binge drinking is more common in Franklin at 16.2% compared to 0.0% in Paupack.
- Obesity rates are higher in Franklin at 37.7% compared to 0.0% in Paupack.
- Disability percentages are higher in Franklin at 17.0% compared to 0.0% in Paupack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Paupack |
|---|---|---|
| No Schooling | 1.6% (394) | 0.0% (Data is updating) |
| High School Diploma | 16.4% (3,969) | 0.0% (Data is updating) |
| Less than High School | 23.7% (5,721) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.1% (2,688) | 0.0% (Data is updating) |
Education Levels Comparison: Franklin vs Paupack
- A higher percentage of residents in Franklin have no formal schooling at 1.6% compared to 0.0% in Paupack.
- A higher percentage of residents in Franklin hold a high school diploma at 16.4% compared to 0.0% in Paupack.
- More residents in Franklin have less than a high school education at 23.7% compared to 0.0% in Paupack.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 11.1% compared to 0.0% in Paupack.
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.