Demographics details for Charlotte, TN vs Paupack, PA
Population Overview
Compare main population characteristics in Charlotte, TN vs Paupack, PA.
| Data | Charlotte | Paupack |
|---|---|---|
| Population | 1,674 | 1,000 |
| Median Age | 36.8 years | 42.0 years |
| Median Income | $57,188 | $60,000 |
| Married Families | 46.0% | 300.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 4.3 | 4.0 |
Population Comparison: Charlotte vs Paupack
- In Charlotte, the population is higher at 1,674, compared to 1,000 in Paupack.
- The median age in Paupack is higher at 42.0 years, compared to 36.8 years in Charlotte.
- Paupack has a higher median income of $60,000, compared to $57,188 in Charlotte.
- In Paupack, the percentage of married families is higher at 300.0%, compared to 46.0% in Charlotte.
- Charlotte has a higher poverty level at 14% compared to 8% in Paupack.
- The unemployment rate in Charlotte is higher at 4.3%, compared to 4.0% in Paupack.
Demographics
Demographics Charlotte vs Paupack provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Paupack |
|---|---|---|
| Black | 6 | 2 |
| White | 82 | 90 |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 3 |
| Two or More Races | 6 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Charlotte vs Paupack
- A higher percentage of Black residents are in Charlotte at 6% compared to 2% in Paupack.
- The percentage of White residents is higher in Paupack at 90% compared to 82% in Charlotte.
- In Paupack, the Asian population stands at 5%, greater than 0% in Charlotte.
- The Hispanic community is larger in Charlotte at 4% compared to 3% in Paupack.
- More residents identify as two or more races in Charlotte at 6% compared to 0% in Paupack.
- A greater percentage of American Indian residents live in Charlotte at 2% compared to 0% in Paupack.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Paupack |
|---|---|---|
| Mental Health Not Good | 20.3% | Data is updating% |
| Physical Health Not Good | 14.7% | Data is updating% |
| Depression | 28.8% | Data is updating% |
| Smoking | 25.3% | Data is updating% |
| Binge Drinking | 16.0% | Data is updating% |
| Obesity | 38.9% | Data is updating% |
| Disability Percentage | 27.0% | Data is updating% |
Health Statistics Comparison: Charlotte vs Paupack
- More residents in Charlotte report poor mental health at 20.3% compared to 0.0% in Paupack.
- Depression is more prevalent in Charlotte at 28.8% compared to 0.0% in Paupack.
- Smoking is more prevalent in Charlotte at 25.3% compared to 0.0% in Paupack.
- Binge drinking is more common in Charlotte at 16.0% compared to 0.0% in Paupack.
- Obesity rates are higher in Charlotte at 38.9% compared to 0.0% in Paupack.
- Disability percentages are higher in Charlotte at 27.0% 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 | Charlotte | Paupack |
|---|---|---|
| No Schooling | 0.4% (6) | 0.0% (Data is updating) |
| High School Diploma | 25.3% (424) | 0.0% (Data is updating) |
| Less than High School | 26.0% (436) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.9% (166) | 0.0% (Data is updating) |
Education Levels Comparison: Charlotte vs Paupack
- A higher percentage of residents in Charlotte have no formal schooling at 0.4% compared to 0.0% in Paupack.
- A higher percentage of residents in Charlotte hold a high school diploma at 25.3% compared to 0.0% in Paupack.
- More residents in Charlotte have less than a high school education at 26.0% compared to 0.0% in Paupack.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 9.9% 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.